Alumni Lists and Theses

We are currently updating all of our alumni pages. Please stay tuned.

The Department of Statistical Science is extremely proud of its highly accomplished Ph.D., M.S., undergraduate, and postdoctoral alumni. We've included a comprehensive list of all our graduates - including year of graduation, thesis (if available), advisor, and last known employment.

Graduates, if any of your information is incorrect or needs updating, please contact Karen Whitesell. Also, if you would like to featured in our Alumni Profile section, let Karen know.
Current students, if you would like to contact an alumnus, please follow these directions.

Our Ph.D. Alums

Year	Program	Name	Employment	Dissertation Title	Advisor Name
1993	PhD	Cao, Guoliang Charlie	Head of Biostatistics, Calico Life Sciences October 2020	Bayesian Nonparametric Mixture Modeling	Mike West
1993	PhD	Lin, Zhengning	Vice President, Head of Biometrics, Ascendis Pharma, Inc., March 2017	Statistical Methods for Combining Historical and Current Clinical Trial Data	Donald Berry
1994	PhD	Li, Chengchang	Vice President, HSBC, 2000	Comparing Survival Data For Two Therapies: Nonhierarchical and Hierarchical Bayesian Approaches	Donald Berry
1994	PhD	Ruggeri, Fabrizio	Research Director, CNR IMATI, Italian National Research Council in Milano, 1988	Bayesian Nonparametrics, Robustness and Fréchet Classes	Michael Lavine
1994	PhD	Gopalan, Ram	Retired, August 2024	Bayesian Multiple Comparisons Using Dirichlet Process Priors	Donald Berry
1994	PhD	Qian, Jiang Jane	Senior Director, Statistics TA Head - Hematology, AbbVie Bay Area, Inc, November 2003	A Bayesian Weibull Survival Model	Donald Berry
1995	PhD	Wilson, Alyson	Interim Vice Chancelor for Research and Innovation, North Carolina State University, August 2024	Statistical Models for Shapes and Deformations	Valen Johnson
1996	PhD	Su, Fusheng	Bio-Statistician, Genentech, USA January 2005	Limit Theorems on Deviation Probabilities with Applications in Two-Armed Clinical Trials	Donald Berry, Giovanni Parmigiani
1996	PhD	Sasinowska Desimone, Heather	COO and Principal Statistician, Incogen, Inc., June 1999, Lecturer, The College of William and Mary, August 2016	Prediction Using Orthogonalized Model Mixing	Merlise Clyde, Giovanni Parmigiani
1997	PhD	Tebaldi, Claudia	Research Fellow, Climate Central, Inc., 2013, Project Scientist III, Climate & Global Dynamics Laboratory, National Center for Atmospheric Research, 2013	Bayesian Analysis of Network Flow Problems	Mike West
1997	PhD	Petris, Giovanni	Professor & Director of Statistics, Department of Mathematical Sciences, University of Arkansas, 2000	Bayesian Analysis of Long Memory Time Series	Mike West
1997	PhD	Chen, Yang	Managing Director, BlackRock, Risk and Quantitative Analysis Group, NYC, December 2012	Bayesian Time Series: Financial Models and Spectral Analysis	Mike West
1997	PhD	Li, Frank	President, CEO, Panton, Inc. January 2014	Time Deformation Models: Theory and Practice	Mike West
1998	PhD	Prado, Raquel	Professor, Statistics, University of California Santa Cruz, CA, July 2001	Latent Structure in Non-Stationary Time Series	Mike West
1998	PhD	Aguilar, Omar	Chief Investment Officer of Passive Equities and Multi-Asset Strategies, Charles Schwab Investment Management, Inc. San Francisco, CA, 2011	Latent Structure in Bayesian Multivariate Time Series Models	Mike West
1998	PhD	Huerta-Gomez, Jose Gabriel	Distinguished Member of the Technical Staff, Sandia National Laboratories, January 2018	Bayesian Analysis of Latent Structure in Time Series Models	Mike West
1998	PhD	Tardella, Luca	Professor, Statistical Science, Sapienza, Universita di Roma, 1997	Some Topics in Bayesian Methodology	Michael Lavine
1998	PhD	McCulloch, Colin	Engineering Manager, Google, 2015	High-level Image Understanding Through Bayesian Hierarchical Models	Valen Johnson
1999	PhD	Swall, Jenise Lynn	Associate Professor of Statistics, Virginia Commonwealth University, August 2011	Nonstationary Spatial Modeling using a Process Convolution Approach	David Higdon
1999	PhD	Stroud, Jonathan	Associate Professor, Georgetown University's McDonough School of Business, August 2015	Bayesian Analysis of Nonlinear Time-Series Models	Peter Mueller
1999	PhD	Paddock, Susan Mary	Executive Vice President and Chief Statistician, NORC, University of Chicago, May 2019	Randomized Polya Trees: Bayesian Nonparametrics for Multivariate Data Analysis	Mike West
1999	PhD	Inoue, Lurdes Yoshiko Tani	Professor and Gilbert S. Omenn Endowed Chair in Biostatistics, University of Washington, September 2019	Bayesian design and analysis of clinical experiments	Donald Berry
1999	PhD	Laading, Jacob	Senior Advisor, DNB, March 2020	Practical Methodology for Inclusion of Modality-Specific Modifications in a Hierarchical Bayesian Deformation Model	Valen Johnson
2000	PhD	Liu, Fang Jane	Retired - from Equities Quantitative Strategies Group, UBS	Bayesian Time Series: Analysis Methods Using Simulation-Based Computation	Mike West
2000	PhD	Ashih, Heidi Wen	Consultant, Einstein's Workshop, September 2022	Joint Estimation of Mammographic Sensitivity and Tumor Growth	Donald Berry, Giovanni Parmigiani
2000	PhD	Lourdes, Viridiana	Data Scientist, Two Chairs, April 2024	Bayesian Modeling and Analysis of Multivariate Time Series, with Applications in Finance and Health Policy	Mike West
2000	PhD	Kern II, John Charles	Associate Dean/Associate Professor, McAnulty College and Graduate School of Liberal Arts, Department of Mathematics and Computer Science, Duquesne University, July 2000	Bayesian Process-Convolution Approaches to Specifying Spatial Dependence Structure	David Higdon
2000	PhD	Lopes, Hedibert Freitas	Full Professor of Statistics and Econometrics, Head of Data and Decision Sciences Group Insper Institute of Education and Research, Sao Paulo, Brazil, September 2013	Bayesian Analysis in Latent Factor and Longitudinal Models	Mike West, Peter Mueller
2000	PhD	Gudbjartsson, Daniel Fannar	VP Applied Statistics, deCODE Genetics, Iceland, 1998	Multipoint Linkage Analysis based on Allele Sharing Models	Giovanni Parmigiani
2001	PhD	De Iorio, Maria	Professor, Biostatistics, University College, London, September 2011	Markov Random Fields at Multiple Resolutions and an ANOVA Model for Dependent Random Measures	Michael Lavine
2002	PhD	Chen, Sining	Adjunct Professor, Data Science Institute, Co-Director of Capstone, Columbia University in the City of New York, January 2019	A Deformation Model for Images	Valen Johnson
2002	PhD	Zhou, Xi Kathy	Director, MS Program, Biostatistics and Data Science, Weill Cornell Medicine, November 2020	Classification of Missense Mutations of Disease Genes	Edwin Iversen, Giovanni Parmigiani
2002	PhD	Ponisciak, Stephen Michael	Research Associate, Alliance for Catholic Education at University of Notre Dame, October 2015	Bayesian Analysis of Teacher Effectiveness	Valen Johnson, Dalene Stangl
2002	PhD	Ferreira, Marco Antonio Rosa	Associate Professor and Director of Graduate Programs in Statistics, Virginia Tech, 2014	Bayesian Multi-scale Modelling	Mike West
2002	PhD	Paulo, Rui Miguel Batista	Associate Professor, ISEG-School of Economics and Management, June 2017	Problems on the Bayesian/Frequentist Interface	James Berger
2002	PhD	Holloman, Christopher Haydon	Director of Sourcing Data Science, Xometry, July 2023	Parameter Estimation Algorithms for Computationally Intensive Spatial Problems	David Higdon
2003	PhD	Liechty, Merrill Windous	Clinical Professor - Decision Sciences and MIS, Drexel University, Consultant, In4mation Insights, 2009	Covariance Matrices and Skewness: Modeling and Applications in Finance	Peter Mueller
2003	PhD	Ter Horst Gomez, Enrique Alejandro	Associate Professor, Universidad de Los Andes August 2017	A Lévy generalization of compound Poisson processes in Finance: Theory and applications	Robert Wolpert
2003	PhD	Molina, German	Co-Founder, Quantitative Portfolio Manager, and Head of Quantitative Trading, Idalion Capital, November 2012-November 2018	Bayesian Stochastic Computation, with Application to Model Selection and Inverse Problems	James Berger
2003	PhD	Calder, Catherine (Kate)	Professor and Chair of Statistics and Data Sciences, The University of Texas at Austin, September 2019	Exploring Latent Structure in Spatial Temporal Processes Using Process Convolutions	David Higdon, Michael Lavine

Year	Program	Name	Employment	Dissertation Title	Advisor Name
2004	PhD	Rappold, Ana G.	Statistician at U.S. Environmental Protection Agency, January 2005	Using Expert Knowledge when the Data Model is Unknown with an Application In Modeling the Mixed Layer of the Atlantic Ocean	Michael Lavine
2004	PhD	Gunn, Laura Hilton	Professor of Public Health Sciences, Affiliate Faculty of the School of Data Science, Director of Biostatistics Core, UNCC	Bayesian Order Restricted Methods with Biomedical Applications	David Dunson
2004	PhD	Rigat, Fabio Maria	GI Strategy Head, Late Oncology Statistics, Executive Director, AstraZeneca, June 2022	Beta Stacy Survival Models and Bayesian Weibull Survival Trees	Mike West
2005	PhD	Liao, Ming	Adjunct Professor, Business and Economics, Senior Advisor, New York University, 2017	Bayesian Models and Machine Learning with Gene Expression Analysis Applications	Mike West
2005	PhD	Kohnen, Christine Noelle	Research Scientist, CTSDMC, University of Iowa, August 2023	Using Multiply Imputed, Synthetic Data to Facilitate Data Sharing	Jerry Reiter
2005	PhD	Hans, Christopher Mark	Associate Professor of Statistics and Co-Director, Undergraduate Data Analytics Major, The Ohio State University-February 2014	Regression Model Search and Uncertainty With Many Predictors	Mike West
2006	PhD	Duan, Jun Jason	Associate Professor, University of Texas at Austin, July 2008	Bayesian Nonparametric and Differential Equation Approaches	Alan Gelfand
2006	PhD	Tu, Chong	Senior Director, Fosun Group, 2015	Bayesian Nonparametric Modeling Using Levy Process Priors with Applications for Function Estimation, Time Series Modeling and Spatio-Temporal Modeling	Merlise Clyde, Robert Wolpert
2006	PhD	House, Leanna Lynn	Associate Professor, Virginia Tech, Department of Statistics-August 2008	Nonparametric Bayesian Models in Expression Proteomic Applications	Merlise Clyde, Robert Wolpert
2006	PhD	Luo, Jing Qin Rosy	Co-Director, Assistant Professor, Siteman Cancer Center (SCC) Biostatistics Shared Resource, Division of Public Health Sciences, St. Louis, October 2020	Model Selection, Covariance Selection and Bayes Classification via Shrinkage Estimators	Merlise Clyde, Ed Iversen
2006	PhD	Xia, Gangqiang	Managing Director, Morgan Stanley, New York City, August 2008	On Large Sample Size Issues in Spatial Statistics	Alan Gelfand
2006	PhD	Carvalho, Carlos Marinho	La Quinta Centennial Professor of Statistics, Department of Statistics and Data Sciences, Department of Information, Risk, and Operations Management, The University of Texas at Austin, McCombs School of Business, July 2010	Structure and Sparsity in High-Dimensional Multivariate Analysis	Mike West
2006	PhD	Wu, Yuhong	Research Associate, Highridge Capital Management, February 2007	Bayesian Tree Models	Mike West
2006	PhD	Lucas, Joseph	Field Consultant, Ab Initio, January 2023	Sparsity Modeling for High Dimensional Systems: Applications in Genomics and Structural Biology	Mike West, Scott Schmidler
2007	PhD	Rodriguez, Abel	Professor and Chair, University of Washington, September 2020	Some Advances in Bayesian Nonparametric Modeling	Alan Gelfand, David Dunson
2007	PhD	Chu, Jen-Hwa	Assistant Professor, Yale School of Medicine, December 2015	Bayesian Function Estimation Using Overcomplete Dictionaries with Application in Genomics	Merlise Clyde
2007	PhD	Woodard, Dawn Banister	Director of Data Science, Maps, Uber, August 2018	Conditions for Rapid and Torpid Mixing of Parallel and Simulated Tempering on Multimodal Distributions	Scott Schmidler
2007	PhD	Liu, Fei	Assistant Professor, Queens College, Retired	Bayesian Functional Data Analysis for Computer Model Validation	James Berger
2007	PhD	Shen, Haige	Lead Statistician, China Novartis Institutes of Biomedical Research, September 2013	Bayesian Analysis in Cancer Pathway Studies and Probabilistic Pathway Annotation	Mike West
2007	PhD	Kinney, Satkartar Kaur	Research Statistician, RTI International, 2015	Model selection and multivariate inference using data multiply imputed for disclosure limitation and nonresponse	Jerry Reiter
2007	PhD	Leman, Scotland Charles	Associate Professor, Virginia Tech, Department of Statistics-August 2008	On Evolutionary Theory, Inference, and Simulation: A Genealogical Perspective	Michael Lavine
2008	PhD	Vance, Eric Alan	Associate Professor and Director of LISA (Laboratory for Interdisciplinary Statistical Analysis), University of Colorado Boulder, August 2016	Statistical Methods for Dynamic Network Data	David Banks
2008	PhD	Puggioni, Gavino	Associate Professor and Head of Statistics, Computer Science and Statistics, College of Arts and Sciences, University of Rhode Island, July 2018	Using Data Augmentation and Stochastic Differential Equations in Spatio Temporal Modeling	Alan Gelfand
2008	PhD	Pillai, Natesh Sivasubramonia	Professor, Statistics, University of Harvard University, August 2010, Distinguished Engineer, Responsible AI, LinkedIn June 2023	Levy Random Measures: Posterior Consistency and Applications	Robert Wolpert
2008	PhD	Sang, Huiyan	Associate Professor, Texas A&M University, August 2008	Extreme Value Modeling For Space-Time Data With Meteorological Applications	Alan Gelfand
2008	PhD	Zhang, Liang	VP Engineering, Head of Pinner Discovery, Pinterest, February 2023	Statistical Computation For Model Space Exploration In High-Dimensional Problems	Mike West
2008	PhD	Mitra, Robin	Associate Professor, UCL, September 2022	Bayesian Methods to Impute Missing Covariates for Causal Inference and Model Selection	Jerry Reiter
2008	PhD	Ouyang, Zhi	Data Science Manager, Apple, June 2020	Bayesian Additive Regression Kernels	Merlise Clyde, Robert Wolpert
2008	PhD	Ghosh, Joyee	Associate Professor, Department of Statistics and Actuarial Science, The University of Iowa, July 2016	Efficient Bayesian Computation and Model Search in Linear Hierarchical Models	Merlise Clyde
2009	PhD	Bullard, Floyd A	Instructor of Mathematics, NC School of Science and Mathematics, 1999	Exoplanet Detection: A Comparison of Three Statistics or How Long Should It Take To Find a Small Planet?	Michael Lavine
2009	PhD	Scott, James Gordon	Associate Professor, Joint appointment in the McCombs School of Business and the Department of Statistics & Data Sciences, University of Texas of Austin, September 2015	Bayesian Adjustment for Multiplicity	James Berger
2009	PhD	Lunagomez, Simon	Lecturer in Statistical Modelling for Networks & Structured Data, Lancaster University, March 2017	A Geometric Approach for Inference on Graphical Models	Sayan Mukherjee, Robert Wolpert
2009	PhD	Mao, Kai	AVP Citigroup, October 2010	Nonparametric Bayesian Models for Supervised Dimension Reduction and Regression	Sayan Mukherjee
2009	PhD	Niemi, Jarad Bohart	Associate Professor, Iowa State University, August 2017	Bayesian Analysis and Computational Methods for Dynamic Modeling	Mike West
2009	PhD	Ji, Chunlin	Vice President for Research and Education, Kuang-Chi Institute of Advance Technology, April 2010	Advances in Bayesian Modelling and Computation: Spatio-temporal Processes, Model Assessment and Adaptive MCMC	Mike West
2010	PhD	Gray, Simone C	Statistician, Centers for Disease Control and Prevention, February 2012	Spatial Modeling of Measurement Error in Exposure to Air Pollution	Alan Gelfand
2010	PhD	Wilson-Quintana, Melanie A	Statistical Scientist, Berry Consultants, Inc., April 2013	Bayesian Model Uncertainty and Prior Choice with Applications to Genetic Association Studies	Edwin Iversen, Merlise Clyde
2010	PhD	Chakraborty, Avishek	Associate Professor, Mathematical Sciences, J. William Fulbright College of Arts & Sciences, University of Arkansas, Fall 2020	Modeling Point Patterns, Measurement Error and Abundance for Exploring Species Distributions	Alan Gelfand
2010	PhD	Schwartz, Scott Lee	Statistical Geneticist and Bioinformatics Scientist, Texas A&M University, July 2011	Bayesian Mixture Modeling Approaches for Intermediate Variables and Causal Inference	Fan Li, Jerry Reiter
2010	PhD	Lum, Kristian Catherine	Research Assistant Professor, University of Pennsylvania, March 2020	Bayesian Spatial Quantile Regression	Alan Gelfand
2010	PhD	Wang, Hao	Senior Quantitative Researcher, Citadel Capital Management, January 2020	Bayesian multi- and matrix- variate modelling: Graphical models and time series	Mike West
2010	PhD	Yang, Hongxia	Senior Staff Data Scientist & Director, Alibaba Group, September 2016	Nonparametric Bayes Models for High-Dimensional and Sparse Data	David Dunson
2011	PhD	Heaton, Matthew J	Associate Professor, Department of Statistics, Brigham Young University, July 2019	Kernel Averaged Predictors for Space and Space-Time Processes	Alan Gelfand
2011	PhD	Mukherjee, Chiranjit	Senior Data Scientist, Google, August 2019	Bayesian Modelling and Computation in Dynamic and Spatial Systems	Mike West
2011	PhD	Hahn, P Richard	Professor, Econometrics and Statistics, Arizona State University, July 2024	Probability Models for Targeted Borrowing of Information	Sayan Mukherjee
2011	PhD	Shi, Minghui	Staff Data Scientist, Google, August 2015	Bayesian Sparse Learning for High Dimensional Data	David Dunson
2011	PhD	Mayrink, Vinicius D	Associate Professor in the Department of Statistics at Universidad Federal de Minas Gerais, Belo Horizonte, Brazil (UFMG), 2012	Factor Models to Describe Linear and Non-linear Structure in High Dimensional Gene Expression Data	Joseph Lucas
2011	PhD	Lopes, Danilo Lourenco	Residues Field Manager, Bayer, January 2020	Development and Implementation of Bayesian Computer Model Emulators	James Berger, Robert Wolpert
2012	PhD	Pati, Debdeep	Associate Professor, Texas A&M University, September 2017	Bayesian Nonparametric Modeling and Theory for Complex Data	David Dunson
2012	PhD	Bhattacharya, Anirban	Associate Professor, Texas A&M University, September 2018	Bayesian Semi-Parametric Factor Models	David Dunson
2012	PhD	Wang, Xiaojing	Assistant Professor, University of Connecticut, August 2012	Bayesian Modeling Using Latent Structures	James Berger
2012	PhD	Si, Yajuan Sophie	Research Associate Professor (with tenure), Institute for Social Research, University of Michigan, Ann Arbor, September 2022	Nonparametric Bayesian Methods for Multiple Imputation of Large Scale Incomplete Categorical Data in Panel Studies	Jerry Reiter
2012	PhD	Lin, Lin Lynn	Associate Professor, Biostatistics & Bioinformatics, Duke University, November 2022	Bayesian Variable Selection in Clustering and Hierarchical Mixture Modeling	Mike West
2012	PhD	Cui, Kai	Managing Director and Head of Data Science, Neuberger Berman Investment Advisors, since January 2021	Bayesian Modeling and Computation for Mixed Data	David Dunson
2012	PhD	Cron, Andrew Jonathan	Chief Data Officer, Invafresh, April 2024	Mixture Modeling, Sparse Covariance Estimation and Parallel Computing in Bayesian Analysis	Mike West
2012	PhD	Nakajima, Jouchi	Professor, Institute of Economic Research, Hitotsubashi University, Tokyo April 2022	Bayesian Analysis of Latent Threshold Models	Mike West
2013	PhD	Petralia, Francesca	Assistant Professor at Icahn School of Medicine at Mount Sinai, September 2016	Structured Bayesian Learning Through Mixture Models	David Dunson
2013	PhD	Wang, Jianyu	Lecturer, Indiana University Bloomington, August 2016	Bayesian Modeling and Adaptive Monte Carlo with Geophysics Applications	Scott Schmidler, Robert Wolpert
2013	PhD	Li, Yingbo	Senior Manager, Research Data Science, Capital One, June 2017	Bayesian Hierarchical Models for Model Choice	Merlise Clyde
2013	PhD	Wang, Fangpo	Senior Data Scientist, Adobe, May 2016	Space and Space-Time Modeling of Directional Data	Alan Gelfand
2013	PhD	Montagna, Silvia	Assistant Professor, Assistant Professor at University of Turin, January 2018	On Bayesian Analyses of Functional Regression, Correlated Functional Data and Non-Homogeneous Computer Models	Surya Tokdar
2013	PhD	Murray, Jared Scott	Assistant Professor, Statistics and Machine Learning, The University of Texas at Austin, July 2017	Some Recent Advances in Non- and Semiparametric Bayesian Modeling with Copulas, Mixtures, and Latent Variables	Jerry Reiter
2013	PhD	Bonassi, Fernando Vieira	Quantitative Analyst, YouTube Data Science Team, Google, January 2015	Approximate Bayesian Computation for Complex Dynamic Systems	Mike West
2013	PhD	Challis, Christopher	Manager, Data Sciences, Adobe, April 2017	Bayesian Structural Phylogenetics	Scott Schmidler
2013	PhD	Banerjee, Anjishnu	Associate Professor, Medical College of Wisconsin, June 2019	Scalable Nonparametric Bayes Learning	David Dunson

Year	Program	Name	Employment	Dissertation Title	Advisor Name
2014	PhD	Terres, Maria A	Senior Data Scientist, Waymo, August 2023	Multivariate Spatial Process Gradients with Environmental Applications	Alan Gelfand
2014	PhD	Broadbent, Mary Beth	Senior Staff Data Scientist, Google, May 2022	Semiparametric Bayesian Regression with Applications in Astronomy	Robert Wolpert
2014	PhD	Paiva, Thais Viana	Assistant Professor, Statistics, Federal University of Minas Gerais, UFMG, Belo Horizonte, Brazil March 2016	Multiple Imputation Methods for Nonignorable Nonresponse, Adaptive Survey Design, and Dissemination of Synthetic Geographies	Jerry Reiter
2014	PhD	Leininger, Thomas J	Senior Manager, Data Science, January 2019	Bayesian Analysis of Spatial Point Patterns	Alan Gelfand
2014	PhD	Heard, Daniel	Business Strategy Analyst, USAA, January 2020	Statistical Inference Utilizing Agent Based Models	David Banks
2014	PhD	Au, Timothy C	Data Science Manager, Google, March 2021	Topics in Computational Advertising	David Banks
2014	PhD	Yang, Yun	Postdoctoral Fellow, UC Berkeley, September 2014	Nonparametric Bayes for Big Data	David Dunson, Surya Tokdar
2015	PhD	McClure, David Robert	Consultant, Risk Advisory, Deloitte, UK April 2016	Relaxations of Differential Privacy & Risk/Utility Evaluations of Synthetic Data & Fidelity Measures	Jerry Reiter
2015	PhD	Jarrett, Nicholas Walton	Research Scientist, 84.51°, 2015	Nonlinear Prediction in Credit Forecasting and Cloud Computing Deployment Optimization	Sayan Mukherjee
2015	PhD	Kunihama, Tsuyoshi	Associate Professor, School of Economics, Kwansei Gakuin University, April 2017	Nonparametric Bayes Analysis of Social Science Data	David Dunson
2015	PhD	Vanderwerken, Douglas N	Assistant Professor, Mathematics Department, United States Naval Academy, July 2015	Monitoring and Improving Markov Chain Monte Carlo Convergence by Partitioning	Scott Schmidler
2015	PhD	St. Thomas, Brian	Staff Data Scientist, Spotify, September 2021	Linear Subspace and Manifold Learning Via Extrinsic Geometry	Sayan Mukherjee
2015	PhD	Qamar, Shaan	Data Science Manager, Google, October 2020	Topics in Bayesian Computation	David Dunson
2015	PhD	Chang, Shih-Han Sean	Research Scientist, Facebook, April 2019	Interfaces Between Bayesian and Frequentist Multiple Testing	James Berger
2015	PhD	Hu, Jingchen Monika	Associate Professor of Statistics, Vassar College, April 2022	Dirichlet Process Mixture Models for Nested Categorical Data	Jerry Reiter
2015	PhD	Soriano, Jacopo	Senior Staff Data Scientist, Google, November 2023	Bayesian Methods for Two-Sample Comparison	Li Ma
2015	PhD	Zhao, Yi Zoey	Trader Team Lead, Jump Trading Group, July 2024	Bayesian Multiregression Dynamic Models with Applications in Finance & Business	Mike West
2016	PhD	Johndrow, James E	Stein Fellow/Lecturer, Stanford University, September 2016, Assistant Professor, The Wharton School, July 2019	Bayesian Inference in Large-Scale Problems	David Dunson
2016	PhD	Gu, Mengyang Michael	Assistant Professor at UC Santa Barbara, July 2019	Robust Uncertainty Quantification and Scalable Computation for Computer Models with Massive Output	James Berger
2016	PhD	Irie, Kaoru	Associate Professor of Economics, Department of Statistics, Graduate School of Economics, The University of Tokyo, November 2022	Bayesian Emulation for Sequential Modeling, Inference and Decision Analysis	Mike West
2016	PhD	Wang, Xiangyu Samuel	Director of Engineering, Instacart, September 2023	Distributed Feature Selection in Large N and Large P Regression Problems	David Dunson
2016	PhD	Wei, Lan Sophia	Director of Marketing Science, In4mation Insights, September 2016-2017	Methods for Imputing Missing Values and Synthesizing Confidential Values for Continuous and Magnitude Data	Jerry Reiter
2016	PhD	Glynn, Christopher	Director of Data Science, Indeed, June 2023		Surya Tokdar
2016	PhD	Schifeling, Tracy Anne	Data Scientist, Housecall Pro, January 2021	Combining Information from Multiple Sources in Bayesian Modeling	Jerry Reiter
2017	PhD	Dalzell, Nicole M	Assistant Teaching Professor in Statistics, Wake Forest University, August 2017	Bayesian Approaches to File Linking with Faulty Data	Jerry Reiter
2017	PhD	Kyzyurova, Ksenia N		On Uncertainty Quantification for Systems of Computer Models	James Berger, Robert Wolpert
2017	PhD	Christensen, Jonathan C	Visiting Assistant Professor, Wake Forest University, August 2018	Applications and Computation of Stateful Polya Trees	Li Ma
2017	PhD	Crawford, Lorin Anthony	Assistant Professor of Biostatistics, Brown University, July 2017, Principal Researcher, Microsoft, June 2022	Bayesian Kernel Models for Statistical Genetics and Cancer Genomics	Sayan Mukherjee
2017	PhD	Chen, Xi	Quantitative Researcher, Citadel Securities, March 2020	Bayesian Dynamic Modeling for Streaming Network Data	Mike West
2017	PhD	McAlinn, Kenichiro	Assistant Professor of Statistical Science, Fox School of Business, Temple University, July 2019	Dynamic Modeling & Bayesian Predictive Synthesis	Mike West
2017	PhD	Chai, Christine	Statistician, Internal Revenue Service (IRS), May 2024	Statistical Issues in Quantifying Text Mining Performance	David Banks
2017	PhD	Shirota, Shinichiro	Assistant Professor, Statistics, Department of Commerce, Meiji University, Tokyo, April 2020	Bayesian Modeling & Computation for Complex Spatial Point Patterns	Alan Gelfand
2017	PhD	Hellmayr, Christoph	Research Scientist, 84.51°, December 2018	Non-Parametric Priors for Functional Data and Partition Labelling Models	Alan Gelfand
2018	PhD	Lindon, Michael S	Senior Data Scientist, Experimentation Platform Team, Netflix, November 2020	Continuous-Time Models of Arrival Times and Optimization Methods for Variable Selection	Surya Tokdar
2018	PhD	Larson, Gary J	Statistical Analyst, Social & Scientific Systems, October. 2018	Advances in Bayesian Modeling of Protein Structure Evolution	Scott Schmidler
2018	PhD	Wang, Ye Eric	Research Scientist, Facebook, June 2018	Bayesian Computation for High-Dimensional Continuous & Sparse Count Data	David Dunson
2018	PhD	Owens-Oas, Derek	Technical Consultant, Data Scientist, Toptal, February 2020	Probabilistic Models for Text in Social Networks	David Banks
2018	PhD	Nguyen, Nghi Le Phuong Maggie	Biostatistician, Duke Molecular Physiology Institute, September 2018	Essays on Propensity Score Methods for Causal Inference in Observational Studies	Fan Li
2018	PhD	Pena Pizarro, Victor	Assistant Professor, Statistics, Baruch College, (Zicklin, CUNY) August 2018	Bayesian Model Uncertainty and Foundations	James Berger
2018	PhD	Futoma, Joe	Research Scientist, Apple, June 2020	Gaussian Process-Based Models for Clinical Time Series in Healthcare	Katherine Heller
2018	PhD	Johnson, Matthew Matt	Research Scientist, Amazon, July 2020	Bayesian Predictive Synthesis: Forecast Calibration and Combination	Mike West
2018	PhD	Wang, Lu	Assistant Professor, Central South University, July 2018	Statistical Modeling of Brain Network Data	David Dunson
2018	PhD	Van Den Boom, Willem	Research Fellow, Yale, NUS College of the National University of Singapore specializing in Bayesian Statistics, July 2020	Tailored Scalable Dimensionality Reduction	David Dunson
2018	PhD	Marion, Joseph	Statistical Scientist, Berry Consultants, August 2018	Finite Sample Bounds and Path Selection for Sequential Monte Carlo	Scott Schmidler
2019	PhD	Coleman, Jacob Jake	Sr. Quantitative Analyst, Los Angeles Dodgers, July 2019	Topics in Bayesian Computer Model Emulation & Calibration with Applications to High Energy Particle Collisions	Robert Wolpert
2019	PhD	Akande, Olanrewaju	Assistant Professor of the Practice, Duke Social Science Research Institute and Statistical Science, July 2019	Bayesian Models for Imputing Missing Data & Editing Erroneous Responses in Surveys	Jerry Reiter
2019	PhD	Heck-Wortman, Joan (Jody) Pearson	Principal Data Scientist, Democratic National Committee, November 2022	Record Linkage Methods with Applications to Causal Inference and Election Voting Data	Jerry Reiter
2019	PhD	Lorenzi, Elizabeth Catherine Liz	Statistical Scientist, Berry Consultants, Inc., June 2019	Advancements in Probabilistic Machine Learning & Causal Inference for Personalized Medicine	Fan Li
2019	PhD	Patra, Sayan	Senior Research Scientist, Applied Research, LinkedIn, March 2022	Constrained Bayesian Inference through Posterior Projection with Applications	David Dunson
2019	PhD	Jauch, Michael	Assistant Professor, Florida State University, August 2022	Random Orthogonal Matrices with Applications in Statistics	Peter Hoff
2019	PhD	White, Philip Andrew	Assistant Professor, Brigham Young University, August 2019	Topics in Bayesian Spatiotemporal Prediction of Environmental Exposure	Alan Gelfand
2019	PhD	Burris, Kyle	Director, Cleveland Indians, January 2024	Advances in Survey Methodology and Sports Science	Peter Hoff
2019	PhD	Berry, Lindsay Rebecca	Statistical Scientist, Berry Consultant, Inc., July 2019	Bayesian Dynamic Modeling and Forecasting of Count Time Series	Mike West
2019	PhD	Zaidi, Abbas Masud	Causal Inference Researcher, Facebook, May 2019	Bayesian Estimation and Sensitivity Analysis for Causal Inference	Sayan Mukherjee, Fan Li
2020	PhD	krmoran@g.clemson.edu, Kelly	Statistician, Los Alamos National Laboratory, February 2021	Advances in Bayesian Factor Modeling & Scalable Gaussian Process Regression	Amy Herring
2020	PhD	Mao, Jialiang	Applied Research Data Scientist, LinkedIn, September 2020	Pyramid Multi-resolution Scanning for Two-sample Comparison (Embargo)	Li Ma
2020	PhD	Cunningham, Erika	Stay at home Mom	A Data-Retaining Framework for Tail Estimation	Surya Tokdar
2020	PhD	Lavine, Isaac	Quantitative Researcher, Susquehanna International Group, LLP, July 2020	Bayesian Computation for Variable Selection & Multivariate Forecasting in Dynamic Models	Mike West
2020	PhD	Gorsky, Shai	Lecturer, University of Massachusetts, Amherst, August 2020	Nonparametric Methods for Analysis & Modeling of Complex Multivariate Distributions	Li Ma
2021	PhD	Xie, Meng Amy	Postdoctoral Researcher, University of Melbourne, March 2020	Multivariate Dynamic Modeling and Bayesian Decision Analysis for Macroeconomic Policy	Mike West
2021	PhD	Yanchenko, Anna	Sr. Machine Learning Scientist, Systems & Technology Research, January 2022	Hierarchical Time Series Modeling with Business and Audio Applications
2021	PhD	Li, Bai	Applied Scientist II, Amazon, May 2021	Privacy and Robustness of Deep Neural Networks	Larry Carin
2021	PhD	Chen, Xu	Quantitative Research Associates, JP Morgan, January 2022	Statistical Analysis of Response Distribution for Dependent Data Bia Joint Quantile Regression	Surya Tokdar
2021	PhD	Bu, Fan	Assistant Professor, Biostatistics, University of Michigan, January 2024	Stochastic Process Models on Dynamic Networks	Alexander Volfovsky
2021	PhD	Zeng, Shuxi	Research Scientist, Facebook, 2021	Modeling and Methodological Advances in Causal Inference	Fan Li
2021	PhD	Tang, Jiurui	Machine Learning Engineer, Harvest Fund, (Beijing, China) August 2022	Bayesian Models for Combining Information from Multiple Sources	Jerry Reiter
2021	PhD	Ferrari, Federico	Sr. Scientist, Biostatistics, Merck, May 2022	Bayesian Interaction Estimation with High-Dimensional Dependent Predictors	David Dunson
2021	PhD	Guo, Yi	Algorithm Developer, Hudson River Trading, February 2022	Problems in Computational Advertising	David Banks
2022	PhD	Chen, Yuhan		Non-Parametric Bayesian Methods for Mixture Models and Variable Selection	David Dunson
2022	PhD	Jiang, Sheng	Assistant Professor, The Chinese University of Hong Kong, August 2024	Consistency and Adaptation of Gaussian Process Regression, Bayesian Stochastic Black Model and Tail Index	Surya Tokdar
2022	PhD	Mathews, Heather	Data Scientist, Spotify, May 2022	Community Structure in Social Networks: Detection, Heterogeneity and Experimentation	Alexander Volfovsky
2022	PhD	Kirveslahti, Henry	Postdoctoral Researcher, Ecole Polytechnique Federale de Lausaunne, September 2022	Euler Integration with Application to Statistical Shape Analysis and Imaging	Sayan Mukherjee
2022	PhD	Tang, Becky	Assistant Professor, Middlebury College (Vermont), September 2022
2022	PhD	Awaya, Naoki	Assistant Professor, School of Political Science and Economics, Waseda University, June 2024	PhD Dissertation - Tree-Based Methods for Learning Probability Distribution	Li Ma
2022	PhD	Caprio, Michele	Postdoctoral Researcher, University of Pennsylvania, Department of Computer & Information Science, June 2022	Advances in Choquet Theories	Sayan Mukherjee
2023	PhD	Chattopadhyay, Shounak	Post Doc Researcher, UCLA, 9/2023
2023	PhD	Jin, Bora	Postdoctoral Fellow, Biostatistics, Johns Hopkins University, August 2023	PhD Dissertation - Advances in Bayesian Hierarchical Models Motivated by Environmental Applications	Amy Herring
2023	PhD	LeBlanc, Patrick	Machine Learning Engineer, Covar, June 2023	PhD Dissertation - Topics in Applied Statistics	David Banks, Li Ma
2023	PhD	McCormack, Andrew	Asst. Prof., University of Alberta, Dept Math & Stat Sciences, 6/2024	PhD Dissertation - Geometric Methods for Point Estimation	Peter Hoff
2023	PhD	Tierney, Graham	Content Data Scientist, Netflix, 8/2023
2023	PhD	Dey, Pritam	Postdoctoral Researcher, Texas A&M University, 9/16/2023
2023	PhD	Orlandi, Vittorio	Quantitative Researcher, Cubist Systematic Strategies, 8/2023
2023	PhD	Zhu, Yichen	Postdoctoral Researcher, Bocconi University, Decision Sciences Dept., September 2023
2023	PhD	Bryan, Jordan	Postdoctoral Researcher, University of North Carolina, Chapel Hill, May 2023	PhD Dissertation - Advanced Topics in Introductory Statistics	Peter Hoff
2023	PhD	Buch, David	Quantitative Researcher, Two Sigma, September 2023	Bayesian Non-parametric Methods for Epidemiology and Clustering	David Dunson
2023	PhD	Wu, Keru	Quantitative Researcher, Citadel Securities, 2/2024
2023	PhD	Wu, Keru	Quantitative Researcher, Citadel Securities, 2/2024
2023	PhD	Zito, Alessandro	Postdoctoral Research Fellow, Harvard, Biostatistics Dept., September 2023
2023	PhD	Knox, Evan		MSS Portfolio
2023	PhD	Nguyen, Phuc	Research Data Scientist, LinkedIn, 9/2023
2023	PhD	Kazan, Zekican		MSS En-Route	Jerry Reiter
2024	PhD	Baek, Youngsoo	Postdoctoral Associate, Biostatistics, Duke University, September 2024	Theory and Practice of Bayesian Methods in Inverse Problems and Related Nonparametric Models	Sayan Mukherjee
2024	PhD	Christensen, Michael	Assistant Professor, Brigham Young University, July 2024
2024	PhD	Bersson, Elizabeth Betsy	Postdoctoral Associate, MIT Laboratory for Information and Decision Systems	Methodological Advances for Multi-group Data	Peter Hoff
2024	PhD	Tallman, Emily	Quantitative Researcher, Two Sigma, August 2024

Our M.S. Alums

Year	Program	Name	Employment	Completion Exercise	Advisor Name
1992	MSS	Li, Hong	Statistical Consultant, Overhauser Li Consulting, July 2014
1993	MSS-MSC	Chang, Hong	Vice Chairman, Haitong Innovation Securities Investment Co., Ltd, May 2012	MSC Portfolio - Bayesian Forecasting	Mike West
1994	MSS	Ruggeri, Fabrizio	Research Director, CNR IMATI, Italian National Research Council in Milano, 1988	Bayesian Nonparametrics, Robustness and Fréchet Classes	Michael Lavine
1995	MSS	Su, Fusheng	Bio-Statistician, Genentech, USA January 2005	MSS Portfolio
1995	MSS	Tebaldi, Claudia	Research Fellow, Climate Central, Inc., 2013, Project Scientist III, Climate & Global Dynamics Laboratory, National Center for Atmospheric Research, 2013	MSS En-Route - Bayesian networks and multivariate time series	Mike West
1995	MSS	Petris, Giovanni	Professor & Director of Statistics, Department of Mathematical Sciences, University of Arkansas, 2000	MSS En-Route - Bayesian nonparametric time series models	Mike West
1995	MSS	Sasinowska Desimone, Heather	COO and Principal Statistician, Incogen, Inc., June 1999, Lecturer, The College of William and Mary, August 2016	MSS Portfolio
1996	MSS	Swall, Jenise Lynn	Associate Professor of Statistics, Virginia Commonwealth University, August 2011	MSS En-Route
1996	MSS	Prado, Raquel	Professor, Statistics, University of California- Santa Cruz, CA, July 2001	MSS En-Route - Bayesian time series modelling	Mike West
1996	MSS	Aguilar, Omar	Chief Investment Officer of Passive Equities and Multi-Asset Strategies at Charles Schwab Investment Management, Inc. San Francisco, CA, 2011	MSS En-Route - Dynamic factor models in Bayesian forecasting	Mike West
1996	MSS	Huerta-Gomez, Jose Gabriel	Distinguished Member of the Technical Staff, Sandia National Laboratories, January. 2018. University of New Mexico National Laboratory Professor, September 2021
1996	MSS	Chen, Yang	Managing Director, BlackRock, Risk and Quantitative Analysis Group, NYC, December 2012	MSS Portfolio
1996	MSS	Stroud, Jonathan	Associate Professor, Georgetown University's McDonough School of Business, August 2015	MSS Portfolio
1996	MSS	Laading, Jacob	Senior Advisor, DNB, March 2020
1996	MSS-MSC	Lamon, Estel Conrad	Manager and President at Statistical Ecology Associates LLC, August 2008	MSC Portfolio - Prediction of chlorophyll a concentrations in Lake Okeechobee using Bayesian nonparametric regression splines with interactions	Michael Lavine
1997	MSS	Liu, Fang Jane	Retired - from Equities Quantitative Strategies Group, UBS	MSS En-Route
1997	MSS	Paddock, Susan Mary	Executive Vice President and Chief Statistician, NORC, University of Chicago, May 2019	MSS En-Route - Bayesian analysis with generalization of Polya tree models	Mike West
1998	MSS	Tardella, Luca	Professor, Statistical Science, Sapienza, Universita Di Roma, 1997	Some Topics in Bayesian Methodology	Michael Lavine
1998	MSS	Lourdes, Viridiana	Data Scientist, Two Chairs, April 2024	MSS En-Route - Multivariate Bayesian forecasting	Mike West
1998	MSS	Kern II, John Charles	Associate Dean/Associate Professor, McAnulty College and Graduate School of Liberal Arts, Department of Mathematics and Computer Science , Duquesne University, July 2000	MSS En-Route
1998	MSS	Lopes, Hedibert Freitas	Full Professor of Statistics and Econometrics, Head of Data and Decision Sciences Group Insper Institute of Education and Research, Sao Paulo, Brazil, September 2013	MSS En-Route - Bayesian factor analysis	Mike West
1999	MSS	Wang, Hongjun	Senior Director, Data Science at Capital One, July 2010	MSS En-Route
1999	MSS	Inoue, Lurdes Yoshiko Tani	Professor and Gilbert S. Omenn Endowed Chair in Biostatistics, University of Washington, September 2019	MSS En-Route
1999	MSS	Chen, Sining	Adjunct Professor, Data Science Institute, Co-Director of Capstone, Columbia University in the City of New York, January 2019	MSS En-Route
1999	MSS-MSC	Reutter, Richard Alexander Alex	Data Scientist Content Manager, Dataiku, February 2017	MSC Portfolio
1999	MSS-MSC	Lynch, Scott M.	Professor, Department of Sociology and the Population Research Institute (DuPRI), Duke University, July 2014	MSC Portfolio - Bayesian Estimation of Polychoric and Polyserial Correlations Via Markov Chain Monte Carlo Simulation Algorithms: A Simulation Study Comparing Posterior Mean and Maximum Likelihood Estimators	Valen Johnson
2000	MSS	Zhou, Xi Kathy	Director, MS Program, Biostatistics and Data Science, Weill Cornell Medicine, November 2020	MSS Portfolio
2000	MSS	Ponisciak, Stephen Michael	Research Associate, Alliance for Catholic Education at University of Notre Dame, October 2015	MSS En-Route
2000	MSS	Paulo, Rui Miguel Batista	Associate Professor, ISEG-School of Economics and Management, June 2017	MSS En-Route
2000	MSS-MSC	Ye, Xiaolan Victor	Director, Health Economics and Outcomes Research, AbbVie, Mar 2015
2000	MSS-MSC	Beckage, Brian	Professor, Dept. of Plant Biology, College of Agriculture and Life Sciences, University of Vermont, 2014	MSC En-Route	Michael Lavine
2001	MSS	Krishnaswamy, Jagdish	Convenor and Senior Fellow, Ashoka Trust for Research in Ecology and the Environment, 2001	Application of Bayesian Dynamic Linear Models in Hydrology	Michael Lavine
2001	MSS	Borsuk, Mark	James L. and Elizabeth M. Vincent Professor of Civil and Environmental Engineering	MSS En-Route
2001	MSS	Liechty, Merrill Windous	Clinical Professor, Decision Sciences and MIS, Drexel University, Consultant, In4mation Insights, 2009
2001	MSS	Ter Horst Gomez, Enrique Alejandro	Associate Professor, University of Andes, August 2017
2001	MSS	Holloman, Christopher Haydon	Director of Sourcing Data Science, Xometry, July 2023
2001	MSS	Huang, Hui	President, HH Capital Management, LLC, June 2009, Co-Founder, Advance Asia, August 2007	MSS Portfolio
2001	MSS	Gunn, Laura Hilton	Professor of Public Health Sciences, Affiliate Faculty of the School of Data Science, Director of Biostatistics Core, UNCC	Thesis	David Dunson
2001	MSS	Calder, Catherine (Kate)	Professor and Chair of Statistics and Data Sciences, The University of Texas at Austin, August 2019	MSS En-Route
2002	MSS	Yang, Guoqiang George	XVA Quantitative Research, Lloyds Banking Group, September 2018
2002	MSS	Rigat, Fabio Maria	GI Strategy Head, Late Oncology Statistics, Executive Director, AstraZeneca, June 2022
2002	MSS	Kohnen, Christine Noelle	Research Scientist, CTSDMC, University of Iowa, August 2023
2002	MSS	Luedi, Philippe Mr.	Senior Research Scientist, Portfolio Manager, AlphaSimplex, 2006	MSC Portfolio	Edwin Iversen

Year	Program	Name	Employment	Completion Exercise	Advisor Name
2003	MSS	Ogle, Kiona	Associate Professor, School of Informatics, Computing and Cyber Systems, Northern Arizona University, 2016
2003	MSS	Brown, Elizabeth Lanz	Faculty, Math Department, Greenfield Community College, 2013	MSS Portfolio
2003	MSS	Tu, Chong	Senior Director, Fosun Group, 2015	MSS En-Route
2003	MSS	House, Leanna Lynn	Associate Professor, Virginia Tech, Department of Statistics-August 2008	MSS En-Route
2003	MSS	Luo, Jing Qin Rosy	Co-Director, Assistant Professor, Siteman Cancer Center (SCC) Biostatistics Shared Resource, Division of Public Health Sciences, St. Louis, October 2020	MSS En-Route
2003	MSS	Hans, Christopher Mark	Associate Professor of Statistics and Co-Director, Undergraduate Data Analytics Major, The Ohio State University-February 2014
2004	MSS	Chu, Jen-Hwa	Assistant Professor, Yale School of Medicine, December 2015	MSS En-Route
2005	MSS	Teng, Jimmy	Associate Professor, Yamanashi University, August 2020	Non-Thesis Master
2005	MSS	Vance, Eric Alan	Associate Professor and Director LISA (Laboratory for Interdisciplinary Statistical Analysis), University of Colorado Boulder, August 2016
2005	MSS	Woodard, Dawn Banister	Director of Data Science, Maps, Uber, August 2018
2005	MSS	Carvalho, Carlos Marinho	La Quinta Centennial Professor of Statistics, Department of Statistics and Data Sciences, Department of Information, Risk, and Operations Management, The University of Texas at Austin, McCombs School of Business, July 2010	MSS En-Route - Bayesian graphical modelling	Mike West
2005	MSS	Lucas, Joseph	Senior Research Scientist, Caravan Health, January 2021	MSS En-Route - Bayesian methods for sparse factor models	Mike West
2006	MSS	Zheng, Jieru	Program Specialist, Field Results Group, UNICEF, May 2018	MSS Portfolio- Regularization and Model Selection for Quantitative Structure-Activity Relationship (QSAR) Studies of MHC-Peptide Binding	Scott Schmidler
2006	MSS	Xia, Qing Jessie	Sr. Director of Analytics, VISA, November 2019	MSC Portfolio - Gaussian Noise Model for Scatter Compensation in Digital Mammography
2006	MSS	Leman, Scotland Charles	Associate Professor, Virginia Tech, Department of Statistics-August 2008
2006	MSS	Mitra, Robin	Associate Professor,UCL, September 2022
2006	MSS	Ghosh, Joyee	Associate Professor, Department of Statistics and Actuarial Science, The University of Iowa-July 2016
2007	MSS	Jesneck, Jonathan Lee	Co-Founder and CTO at Firefly Lab, April 2015	MSS Portfolio
2007	MSS	Xie, Junyi	Software Engineer, Oracle, April 2014	MSC Portfolio
2007	MSS	Puggioni, Gavino	Associate Professor and Head of Statistics, Computer Science and Statistics, College of Arts and Sciences, University of Rhode Island, July 2018
2007	MSS	Zhang, Liang	VP Engineering, Head of Pinner Discovery, Pinterest, February 2023
2007	MSS	Ouyang, Zhi	Data Science Manager, Apple, June 2020	MSS En-Route
2007	MSS	Wilson-Quintana, Melanie A	Statistical Scientist, Berry Consultants, Inc., April 2013	MSS En-Route
2008	MSS	Gao, Zhenglei	Statistical Modeller, Bayer Crop Science, January 2016	MSS Portfolio	Scott Schmidler
2008	MSS	Pillai, Natesh Sivasubramonia	Professor, Statistics, University of Harvard University, August 2010 Distinguished Engineer, Responsible AI, LinkedIn June 2023
2008	MSS	Li, Quanlin	Sr. Biostatistician, ICON, plc, September 2017	MSC Portfolio - Bayesian Inverse Model to Estimate Global Carbon Monoxide Emissions	Robert Wolpert
2008	MSS	Enstrom, Betsy	Manager, Advanced Analytic Testing at IDeaS Revenue Solutions, May 2014, Owner/Chief Financial Officer, Rush River Brewing, LLC, January 2016	MSS Portfolio
2008	MSS	Gray, Simone C	Statistician, Centers for Disease Control and Prevention, February 2012
2008	MSS	Mao, Kai	AVP Citigroup, October 2010	MSS En-Route
2008	MSS	Sipe, Jeffrey Allen	Analytics Consultant, Wells Fargo, May 2014	MSS En-Route
2008	MSS	Schwartz, Scott Lee	Statistical Geneticist and Bioinformatics Scientist, Texas A&M University, July 2011	MSS En-Route
2008	MSS	Lum, Kristian Catherine	Research Assistant Professor, University of Pennsylvania, March 2020	MSS En-Route
2008	MSS	Ji, Chunlin	Vice President for Research and Education, Kuang-Chi Institute of Advance Technology, April 2010	MSS En-Route
2008	MSS	Wang, Hao	Senior Quantitative Researcher, Citadel Capital Management, January 2020	MSS En-Route
2009	MSS	Xu, Huidong	Director at BlackRock, November 2018	MSS Portfolio - Modeling Stochastic Switching of Electric Field Distributions in Semiconductor Superlattices	Robert Wolpert
2009	MSS	Zhou, Xiang	Associate Professor, University of Michigan, September 2019	MSS Portfolio - Parameter Estimation in Ising and Potts Models with Applications to Computational Protein Design
2009	MSS	Jia, Botao	Senior Software Engineer, Citadel, October 2018	MSS Portfolio - Duke Free Electron Laser Storage Ring Beam Energy Spread Analysis	Scott Schmidler
2009	MSS	Montgomery, Jacob M	Associate Professor, Washington University in St. Louis, 2017	MSC Portfolio - Partisan Representation: Voters, Partisans, and Responsiveness in the U.S. Senate	Jerry Reiter
2009	MSS	Mukherjee, Chiranjit	Senior Data Scientist, Google, August 2019	MSS En-Route
2009	MSS	Shi, Minghui	Staff Data Scientist, Google, August 2015	MSS En-Route
2009	MSS	Mayrink, Vinicius D	Associate Professor, Department of Statistics, Federal University of Minas Gerais (UFMG), 2012	MSS En-Route - Sparse latent factor models in genomics	Mike West
2009	MSS	Yang, Hongxia	Senior Staff Data Scientist & Director, Alibaba Group, September 2016	MSS En-Route
2009	MSS	Lopes, Danilo Lourenco	Residues Field Manager, Bayer, January 2020	MSS En-Route
2010	MSS	Zeng, Yu Jason	Senior Data Scientist, Concho, April 2019	Momentum Scale Estimation Using Maximum Likelihood Template Fitting	Sayan Mukherjee
2010	MSS	Zhang, Guoxian	Staff Data Scientist, Machine Learning, Airbnb, November 2019	MSS Portfolio - An Integrated Online Path Planning and Control Approach for Robotic Sensor Networks	Mike West
2010	MSS	Korman, Alexander J	Physical Therapist, Haywoods Lodge, Assisted Living and Retirement Homes, August 2015	No thesis: MS Completion by Exam	Merlise Clyde
2010	MSS	Pati, Debdeep	Associate Professor, Texas A&M University, September 2017	MSS En-Route
2010	MSS	Bhattacharya, Anirban	Associate Professor, Texas A&M University, September 2018	MSS En-Route
2010	MSS	Wang, Jianyu	Lecturer, Indiana University Bloomington, August 2016	MSS Portfolio - Bayesian Modeling and Adaptive Monte Carlo with Geophysics Applications	Robert Wolpert, Scott Schmidler
2010	MSS	Wang, Fangpo	Senior Data Scientist, Adobe, May 2016	MSS En-Route
2010	MSS-MSC	Rozenas, Arturas	Assistant Professor, Department of Politics, New York University, 2013	MSC Portfolio - Inferring Ideological Ambiguity from Expert Data	Jerry Reiter
2011	MSS	de Oliveira Sales, Ana Paula	Principal Investigator, Machine Learning and Statistical Modeling, Lawrence Livermore National Laboratory, August 2013	Clustering Multiple Related Datasets with a Hierarchical Dirichlet Process	Mike West
2011	MSS	Yang, Ying	Associate Venture Technology Director, Beijing Institute of Collaborative Innovation, March 2017	MSS Portfolio - Spatial Bayesian Variable Selection with Application to Functional Magnetic Resonance Imaging (fMRI)	Fan Li
2011	MSS	Wang, Shouqiang	Assistant Professor at University of Texas at Dallas, June 2016	MSS Portfolio - Two Applications of Adversarial Risk Analysis	David Banks
2011	MSS	Petralia, Francesca	Assistant Professor at Icahn School of Medicine at Mount Sinai, September 2016	MSS En-Route
2011	MSS	Si, Yajuan Sophie	Research Associate Professor (with tenure), Institute for Social Research, University of Michigan, Ann Arbor, September 2022	MSS Portfolio
2011	MSS	Li, Yingbo	Senior Manager, Research Data Science, Capital One, June 2017	MSS En-Route
2011	MSS	Cui, Kai	Managing Director and Head of Data Science, Neuberger Berman Investment Advisors, since January 2021
2011	MSS	Cron, Andrew Jonathan	Chief Data Officer, Invafresh, April 2024	MSS En-Route - Bayesian sparsity modelling and GPU computing	Mike West
2011	MSS	Murray, Jared Scott	Assistant Professor, Statistics and Machine Learning, The University of Texas at Austin, July 2017
2011	MSS	Bonassi, Fernando Vieira	Quantitative Analyst, YouTube Data Science Team, Google, January 2015	MSS En-Route - ABC for Bayesian time series with systems biology applications	Mike West
2011	MSS	Van Haren, Ken R	Founder ParkFit June 2014, Co-Founder Basis March 2021	MSS Portfolio	Merlise Clyde
2011	MSS	Nakajima, Jouchi	Professor, Institute of Economic Research, Hitotsubashi University, Tokyo April 2022	MSS En-Route - Dynamic latent threshold models	Mike West
2012	MSS	McClure, David Robert	Consultant, Risk Advisory, Deloitte, UK April 2016	MSS En-Route
2012	MSS	Deng, Yiting	Assistant Professor of Marketing, University College London, July 2016	MSS Portfolio - Modeling Missing Data in Panel Studies with Multiple Refreshment Samples	Jerry Reiter
2012	MSS	Terres, Maria A	Senior Data Scientist, Waymo, August 2023	Multivariate Spatial Process Gradients with Environmental Applications	Alan Gelfand
2012	MSS	Banerjee, Anjishnu	Associate Professor, Medical College of Wisconsin, June 2019
2012	MSS	Broadbent, Mary Beth	Senior Staff Data Scientist, Google, May 2022	MSS En-Route
2012	MSS	Paiva, Thais Viana	Assistant Professor, Statistics, Federal University of Minas Gerais, UFMG, Belo Horizonte, Brazil March 2016	MSS En-Route
2012	MSS	Leininger, Thomas J	Senior Manager, Data Science, Capital One January 2019	MSS En-Route
2012	MSS-MSC	Runcie, Daniel	Assistant Professor Plant Sciences Dept., University of California Davis, July 2015	MSC Portfolio - Bayesian Models for Relating Gene Expression and Morphological Shape Variation in Sea Urchin Larvae	Scott Schmidler

Year	Program	Name	Employment	Completion Exercise	Advisor Name
2013	MSS	Valle, Denis R	Assistant Professor, School of Forest Resources & Conservation, University of Florida, June 2014	MSC Portfolio - Improving the Modeling of Government Surveillance Data: a Case Study on Malaria in the Brazilian Amazon	Alan Gelfand
2013	MSS	Montagna, Silvia	Assistant Professor, Università degli Studi di Torino, (Italy), January 2018	MSS En-Route
2013	MSS	Challis, Christopher	Manager, Data Sciences, Adobe, April 2017	MSS En-Route
2013	MSS	Zhang, Xianxing	Senior Manager, Tech Lead, Uber, August 2019	MSS Portfolio - Nested Latent Factor Models
2013	MSS	Johndrow, James E	Stein Fellow/Lecturer, Stanford University, September 2016, Assistant Professor, The Wharton School, July 2019	MSS En-Route
2013	MSS	Heard, Daniel	Business Strategy Analyst, USAA, January 2020	MSS En-Route
2013	MSS	Jarrett, Nicholas Walton	Research Scientist, 84.51°, 2015	MSS En-Route
2013	MSS	Au, Timothy C	Data Science Manager, Google, March 2021		David Banks
2013	MSS	Kunihama, Tsuyoshi	Associate Professor, School of Economics, Kwansei Gakuin University, April 2017	MSS En-Route
2013	MSS	St. Thomas, Brian	Staff Data Scientist, Spotify, September 2021	MSS En-Route
2013	MSS	Soriano, Jacopo	Senior Staff Data Scientist, Google, November 2023	MSS En-Route
2013	MSS	Hu, Jingchen Monika	Assistant Professor of Statistics, Vassar College, July 2015	MSS En-Route
2013	MSS	Gu, Mengyang Michael	Assistant Professor at UC Santa Barbara- July 2019	MSS En-Route
2013	MSS-MSC	Riddell, Allen Beye	Assistant Professor of Information Science, Indiana University Bloomington, December 2017	MSC Portfolio - Studying Literary History with Latent Feature Models	David Dunson
2014	MSS	Mayhew, Michael B	Senior Machine Learning Scientist, Inflammatix, Inc, April 2019	MSC Portfolio - Bayesian Statistical Models of Cell-Cycle Progression at Single-Cell and Population Levels	Edwin Iversen
2014	MSS	Wang, Yingjian	Senior Machine Learning Scientist, SAS, May 2016	MSC Portfolio - Gaussian Beta Process	David Dunson
2014	MSS	Shang, Yan	Research Scientist, Facebook, May 2016	MSC Portfolio - Exploiting Big Data in Logistics Risk Assessment via Bayesian Nonparametrics	David Dunson
2014	MSS	Qamar, Shaan	Data Science Manager, Google, October 2020	MSS En-Route
2014	MSS	Zhao, Yi Zoey	Quantitative Researcher, Citadel, LLC, January 2015	MSS En-Route
2014	MSS	Lindon, Michael S	Senior Data Scientist, Experimentation Platform Team, Netflix, November 2020	MSS En-Route
2014	MSS	Irie, Kaoru	Associate Professor of Economics, Department of Statistics, Graduate School of Economics, The University of Tokyo, November 2022	MSS En-Route
2014	MSS	Dalzell, Nicole M	Assistant Teaching Professor in Statistics, Wake Forest University, August 2017	MSS En-Route
2014	MSS	Larson, Gary J	Statistical Analyst, Social & Scientific Systems, October. 2018	MSS En-Route
2014	MSS	Glynn, Christopher	Director of Data Science, Indeed, June 2023	MSS En-Route
2014	MSS	Schifeling, Tracy Anne	Data Scientist, Housecall Pro January 2021	MSS En-Route
2014	MSS	Kyzyurova, Ksenia N		MSS En-Route
2014	MSS	Liang, Jiawei Wesley	Product Science Lead, Indeed.com, July 2019	MSEM Portfolio - Mining Political Blogs With Network Based Topic Models	David Banks
2014	MSS-MSC	Zhu, Kai Kyle	Assistant Professor, University of California, Santa Cruz, July 2017	MSC Portfolio - Integral Projection Models: Simulation Studies and Sensitivity Analyses
2014	MSS-MSEM	Kramer, Zachary D	Manager of Analytics, DraftKings, Inc, July 2014	MSEM Portfolio - Default Prior Choice for Bayesian Model Selection in Generalized Linear Models with Applications in Mortgage Default	Merlise Clyde
2014	MSS-MSEM	Wang, Ye Eric	Research Scientist, Facebook, June 2018	MSEM Portfolio - Bayes High-Dimensional Density Estimation Using Multiscale Dictionaries	David Dunson
2015	MSS	Jiang, Yue	Assistant Professor, Statistical Science, Duke University, January 2020
2015	MSS	Subramanian, Vivek A	Applied Scientist, Alexa AI, Cambridge Mass, February 2021	Variational Inference for Nonlinear Regression Using Dimension Reduced Mixtures of Generalized Linear Models MSS Portfolio - with Application to Neural Data	Jeffrey Beck, Sayan Mukherjee
2015	MSS	Jiang, Yue	Principal Scientist, Juno Therapeutics, Inc. June 2020	Predicting Ligand Selectivity of Mammalian Odorant Receptors
2015	MSS	Jiang, Yu	Research Engineer at Facebook AI Research, February 2018	MSS Portfolio - Leveraging Population Information in Family-based Rare Variant Association Analyses of Quantitative Traits	Sayan Mukherjee
2015	MSS	Christensen, Jonathan C	Visiting Assistant Professor, Wake Forest University, August 2018
2015	MSS	McAlinn, Kenichiro	Assistant Professor of Statistical Science, Fox School of Business, Temple University, July 2019
2015	MSS	Helman, George Musarra	Software Engineer, Arch Insurance Group, Inc., January 2020	MSS Portfolio
2015	MSS	Johnson, Matthew Matt	Research Scientist, Amazon, July 2020		Mike West
2015	MSS	Lorenzi, Elizabeth Catherine Liz	Statistical Scientist, Berry Consultants, Inc., June 2019	MSS En-Route
2015	MSS	Anand, Radhika	Data Scientist at Airbnb, August 2019	MSEM Portfolio - Claims Severity Modeling	Sayan Mukherjee
2015	MSS-MSC	Yin, Yi	Assistant Professor, Department of Human Genetics, University of California, Los Angeles, CA, March 2020	MSC Portfolio - Predictive Modeling of Loss-of-Heterozygosity Events in Yeast
2015	MSS-MSC	Zhong, Jianling	Machine Learning Engineer, Apple, June 2020	MSC Portfolio - A Bayesian Model for Nucleosome Positioning Using DNase-seq Data
2015	MSS-MSC	Fisher, Jacob Charles	Research Scientist, Facebook July 2020	MSC Portfolio - Latent Space Diffusion	David Banks
2015	MSS-MSC	Lian, Wenzhao	Senior Research Engineer, X (Formerly Google{X}, the moonshot factory, August 2019	MSC Portfolio - Predictive Models for Point Processes	David Dunson
2015	MSS-MSC	Fink, Joshua J	Senior Director of Data Science for the San Antonio Spurs, Spurs Sports & Entertainment, July 2022	MSC Portfolio
2015	MSS-MSEM	Lusompa, Amaze Basil	Ph.D. Program, University of California, Irvine, August 2015	MSEM Portfolio - U.S. Fiscal Multipliers	Craig Burnside
2015	MSS-MSEM	Dai, Fan	Assistant Professor, Statistics, Department of Mathematical Sciences, Michigan Technological University, August 2020	MSEM Portfolio - A Tapered Pareto-Poisson Model for Extreme Pyroclastic Flows: Application to the Quantification of Volcano Hazards	Robert Wolpert
2015	MSS-MSEM	Cao, Yong	Data Engineer at Airbnb, Sept 2019	MSEM Portfolio - Simulation Study on Exchangeability and Significant Test on Survey Data	Surya Tokdar
2015	MSS-MSEM	Kamboj, Kirti	Data Scientist, Microsoft, May 2019	MSEM Portfolio - VizMaps: A Bayesian Topic Modeling Based PubMed Search Interface	David Banks
2015	MSS-MSEM	Oh, Sohae Eve	Ph.D. Program, Agricultural and Resource Economics, North Carolina State University, 2017	MSEM Portfolio - Multiple Imputation on Missing Values in Time Series Data	Fan Li
2015	MSS-MSEM	Wang, Yang Yvonne	Ph.D. Program, Tulane University, 2020	MSEM Portfolio - Do Chinese Investors Get What They Don’t Pay For? Expense Ratios, Loads, and The Returns to China's Open-End Mutual Funds	Edward Toward
2015	MSS-MSEM	Sun, Xuan Bill	Investment Banking Senior Associate, FIG, Sponsor Representative, HuaTai Securities Co., Ltd. August 2019	MSEM Portfolio - Applications of Statistical and Economic Analysis in Finance and Health Industry	Kent Kimbrough
2015	MSS-MSEM	Jiang, Sheng	Assistant Professor, The Chinese University Of Hong Kong, August 2024	MSEM Portfolio - Bayesian Models for Causal Analysis with Many Potentially Weak Instruments	Surya Tokdar
2015	MSS-MSEM	Akande, Olanrewaju	Assistant Professor of the Practice, Duke Social Science Research Institute and Statistical Science, July 2019	MSEM Portfolio - A Comparison of Multiple Imputation Methods for Categorical Data	Jerry Reiter
2016	MSS	Guo, Yaqi Sophie	Manager, Tech Ops, Amazon, July 2022	MSS Portfolio	Sayan Mukherjee
2016	MSS	Chen, Yuhan	Ph.D. Program, Statistical Science, Duke University, August 2019	MSS En-Route - A Bayesian Dirichlet-Multinomial Test for Cross-Group Differences	Li Ma
2016	MSS	Lee, Jiseon Sophie	Assistant Professor, Metropolitan College of New York, January 2020	MSC Portfolio
2016	MSS	Han, Shaobo	Senior Researcher, NEC Laboratories America Inc, June 2023	MSC Portfolio	Sayan Mukherjee
2016	MSS	Crawford, Lorin Anthony	Assistant Professor of Biostatistics, Brown University, July 2017, Principal Researcher, Microsoft, June 2022	MSS En-Route
2016	MSS	Nguyen, Nghi Le Phuong Maggie	Biostatistician, Duke Molecular Physiology Institute, September 2018
2016	MSS	Pena Pizarro, Victor	Assistant Professor, Statistics, Baruch College, (Zicklin, CUNY) August 2018	MSS En-Route
2016	MSS	Futoma, Joe	Research Scientist, Apple, June 2020	MSS Portfolio
2016	MSS	Chai, Christine	Statistician, Internal Revenue Service (IRS), May 2024	MSS En-Route
2016	MSS	Chen, Xi	Quantitative Researcher, Citadel Securities, March 2020	MSS En-Route - Bayesian models for dynamic network flow	Mike West
2016	MSS	Hellmayr, Christoph	Research Scientist, 84.51°, December 2018	MSS Portfolio
2016	MSS	Lee, Princeton	Director of Commercial Services, Panton, Inc., 2017	MSS Portfolio
2016	MSS	Wong, Andrew	Data Scientist Manager, Neustar, Inc., 2016	MSS Portfolio	Sayan Mukherjee
2016	MSS	Van Den Boom, Willem	Research Fellow, Yale, NUS College of the National University of Singapore specializing in Bayesian Statistics, July 2020
2016	MSS	Mao, Jialiang	Applied Research Data Scientist, LinkedIn, September 2020	MSS En-Route - Pyramid Multi-resolution Scanning for Two-sample Comparison	Li Ma
2016	MSS	Ding, Zheng Joseph	Senior Data Scientist, Akamai Technologies, January 2020	MSS Portfolio
2016	MSS	Bian, Shijia	Ph.D. Program, Biostatistics, Rollins School of Public Health, Emory University, August 2019	MSS Portfolio
2016	MSS	Chen, Yu	Data Scientist, Facebook, January 2019	MSS Portfolio
2016	MSS	Park, Min Jung		MSS Portfolio
2016	MSS	Mu, Yue April	Actuarial Assistant, Liberty Mutual, June 2015-August 2015	MSS Portfolio
2016	MSS	Bi, Yongjian	Machine Learning Scientist, Compass, June 2019	MSS Portfolio - Scheduling Optimization with LDA and Greedy Algorithm	Sayan Mukherjee, David Banks
2016	MSS	Liang, Yuhao	Data Scientist, Prism Analytics, Workday, April 2018	MSS Portfolio
2016	MSS	Liu, Yanyu Anne	Data Scientist, Facebook, September 2019	MSS Portfolio
2016	MSS	Li, Xinyi Chris	Data Science, Analytics, Poshmark, January 2020	MSS Portfolio
2016	MSS	Yu, Jiangzhen Jane	Deep Learning Engineer, Research, Aquabyte, February 2020	MSS Portfolio Presentation
2016	MSS-MSEM	Yang, Xi	Senior Data Scientist, Prudential Financial, February 2023	MSEM Portfolio - Multiview Weighted Network	Sayan Mukherjee
2016	MSS-MSEM	Luo, Haosheng Andy	Quantitative Researcher, Aqua Selection Capital Management, May 2020	MSEM Portfolio Presentation
2016	MSS-MSEM	Gautam, Dipesh	Data Scientist, FathomAl, September 2016	MSEM Portfolio
2016	MSS-MSEM	Su, Yang Chloe	Associate, Analytics Specialist, McKinsey & Company, October 2017	MSEM Portfolio
2016	MSS-MSEM	Liu, Lei	Consultant, Boston Consulting Group, September 2019	MSEM Portfolio Presentation
2016	MSS-MSEM	Zhou, Yikun Ethan	Vice President, CITIC Securities Company Limited, January 2021
2016	MSS-MSEM	Chen, Yang	Sustainable Finance Consultant, IFC (International Finance Corporation), March 2022	MSEM Portfolio - Adaptive Bayesian computation in time series	Mike West
2016	MSS-MSEM	Xia, Hanqiu	Senior Data Scientist, Amazon, April 2023	MSEM Portfolio
2017	MSS	Owens-Oas, Derek	Technical Consultant, Data Scientist, Toptal, February 2020	MSS En-Route
2017	MSS	Yin, Lun Sam	Ph.D. Program, Biostatistics, Emory University, August 2020
2017	MSS	Shirota, Shinichiro	Assistant Professor, Statistics, Department of Commerce, Meiji University, Tokyo, April 2020	MSS En-Route
2017	MSS	Patra, Sayan	Data Scientist, Applied Research, LinkedIn, November 2019	MSS En-Route
2017	MSS	Jauch, Michael	Assistant Professor, Florida State University, August 2022	MSS En-Route
2017	MSS	Song, Hanyu		MSS En-Route - Wavelet Regression Using MapReduce & Analysis of Multiple Sclerosis Clinical Data	Li Ma
2017	MSS	Fang, Dayi	Senior Quantitative Analyst, Capital One, January 2020	MSS Portfolio	Sayan Mukherjee
2017	MSS	Brown, Stephanie	Technical Solutions Analyst, Manning & Napier January 2020	MSS Portfolio
2017	MSS	Hariharan, Sanjay	Co-Founder & CTO, Century Health, May 2024	MSS Portfolio - Real-Time Sepsis Prediction Using an End-to-End Multi-Task Gaussian Process RNN Classifier	Katherine Heller
2017	MSS	Yanchenko, Anna	Ph.D. Program, Statistical Science, Duke University, August 2017	Classical Music Composition Using Hidden Markov Models	Sayan Mukherjee
2017	MSS	Jordan, Drew	Baseball Operations Senior Analyst, Detroit Tiger, January 2019	MSS Portfolio - Measuring Baseball Defensive Value Using Statcast Data	Colin Rundel
2017	MSS	Robertson, Megan	Senior Data Scientist, Nike, December 2020	MSS Portfolio - An Analysis of NBA Spatio-Temporal Data	Sayan Mukherjee
2017	MSS	Normoyle, Sarah	Grassroots Fundraising Analyst, Democratic National Committee, September 2020	MSS Portfolio
2017	MSS	Bustos X, Gonzalo	Chief Data Analytics Officer, Hortifrut SA (HF), January 2023	MSS Portfolio	Sayan Mukherjee
2017	MSS	Man, Ilan	Head of Data, TrialSpark, June 2018	MSS Portfolio	Sayan Mukherjee
2017	MSS	Suresh, Sunith Raj	Staff Solution Architect, Cohere, June 2024	MSS Portfolio - Bayesian Solution to the 20 Question Game with Application to Recommender Systems	David Banks
2017	MSS	Shu, Leonardo Roberto	Analyst, Data and Policy, Acumen, November 2019	MSS Portfolio	Sayan Mukherjee
2017	MSS	Xiao, Lin Tim	Senior Data Scientist, Walmart Tech, Plano, TX, June 2020	MSS Portfolio	Sayan Mukherjee
2017	MSS	Lei, Yulin	Algorithm Engineer, JD.com, January 2020	MSS Portfolio	Sayan Mukherjee
2017	MSS	Wang, Qi	Senior Consultant, Ekimetrics, July 2020	MSS Portfolio	Sayan Mukherjee
2017	MSS	Zhang, Youyuan Darien	Machine Learning Engineer, Siri Understanding Team, Apple AI/ML Group, Apple, June 2017	MSS Portfolio
2017	MSS	Shao, Wei Emily	Data Scientist, Hortifrut, SA (HF), April 2018	MSS Portfolio - Supervised MELD for Multidomain Mixed Membership Analyses	David Dunson
2017	MSS	Li, Bai	Ph.D. Program, Statistical Science, Duke University, August 2017	MSS En-Route A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms	Rebecca Steorts
2017	MSS	Li, Mengrun	Senior Business Intelligence Analyst, Carnival Cruise Lines, March 2020	MSS Portfolio	Sayan Mukherjee
2017	MSS	Xu, Xin Julia	Research Scientist, Amazon Web Services, April 2020	MSS Portfolio	Sayan Mukherjee
2017	MSS	Cheng, Yaqian Sophie	Data Scientist, Meta, October 2021	MSS Portfolio	Sayan Mukherjee
2017	MSS	Chen, Xu	Ph.D. Program, Statistical Science, Duke University, April 2017	MSS En-Route - Multiple-try Stochastic Search for Bayesian Variable Selection	Surya Tokdar
2017	MSS	Shi, Wenli Gray	Research Scientist, Facebook, August 2021	MSS Portfolio - Some Explorations of Bayesian Joint Quantile Regression	Surya Tokdar
2017	MSS	Gao, Yuan Andrea	Senior Data Scientist, Boston Consulting Group, September 2018	MSS Portfolio	Sayan Mukherjee
2017	MSS	Berry, Lindsay Rebecca	Statistical Scientist, Berry Consultant, Inc., July 2019	MSS En-Route - Bayesian forecasting of massive discrete time series	Mike West
2017	MSS	Sheng, Hao	Software Engineer, Machine Learning, LinkedIn, December 2019	MSS Portfolio - Bayesian Approach on Correcting Model Performance Given Biased Estimates of Feature Values	Sayan Mukherjee
2017	MSS-MSEM	Yoon, Joon Sang	Ph.D. Program, University of Southern California, Marshall School of Business, 2017	MSEM Portfolio Presentation
2017	MSS-MSEM	Ye, Yifan	Ph.D. Program, Economics Department, Boston University, 2017	MSEM Portfolio Presentation
2017	MSS-MSEM	Qian, Lei Shao	Statistician Mathematical Research, Wright-Patterson Air Force Base, Research Laboratory, September 2017	MSEM Portfolio - Spatial Assignments Using Intrinsic Markers to Infer Migratory Patterns	Colin Rundel
2017	MSS-MSEM	McCreanor, Reuben	Staff Product Manager, dbt Labs, January 2024	MSEM Portfolio - Dynamic Time Varying Models for Predicting Patient Deterioration	Rebecca Steorts
2017	MSS-MSEM	Zaman, Azeem	Ph.D. Program, Harvard University, August 2018	MSEM Portfolio - Bayesian Hierarchical Models to Address Problems in Neuroscience and Economics
2017	MSS-MSEM	Wen, Fu Will	Data Analyst, ByteDance, May 2019	MSEM Portfolio
2017	MSS-MSEM	Jiang, Menglan	Data Scientist, Capital One July 2019	MSEM Portfolio
2017	MSS-MSEM	Yu, Haoyang Sophie	Ph.D. Program, Fuqua School of Business, Decision Sciences, 2018	MSEM Portfolio - Differentially Private Verifications of Predictions from Synthetic Data	Jerry Reiter
2017	MSS-MSEM	Zeng, Ziyue Gloria	Senior Quantitative Researcher, AIA, Shanghai, China December 2020	MSEM Portfolio Presentation

Year	Program	Name	Employment	Completion Exercise	Advisor Name
2018	MSS	Eastman, William R	Lead Data Scientist, Players Lounge, 2022	MSS Portfolio - Applied Dynamic Factor Analysis for Macroeconomic Forecasting	Mike West
2018	MSS	Xie, Meng Amy	Ph.D. Program, Statistical Science, Duke University, May 2018	MSS En-Route
2018	MSS	Li, Fanfei Faustine	Computer Vision Engineer, Descartes Labs, June 2018	MSS Portfolio - Deep Learning for the Automatic Grading of Diabetic Retinopathy	Sayan Mukherjee
2018	MSS	Klemish, David Joseph	Analytics and Actuarial Director, Synchrono Group, August 2019	MSEM Portfolio - A Comparison of Serial & Parallel Particle Filters for Time Series Analysis	Mike West
2018	MSS	Coleman, Jacob Jake	Sr. Quantitative Analyst, Los Angeles Dodgers, July 2019	MSS En-Route
2018	MSS	Mandan, Arpita	Data Scientist, Akami Technologies, September 2018	Two Applications of Summary Statistics: Integrating Information Across Genes and Confidence Intervals With Missing Data	Sayan Mukherjee
2018	MSS	Burris, Kyle	Statistical Analyst at Cleveland Indians, May 2019	MSS En-Route
2018	MSS	Zaidi, Abbas Masud	Causal Inference Researcher, Facebook, May 2019	MSS En-Route
2018	MSS	Bryan, Jonathan	Senior Quantitative Data Analyst at Flatiron Health, October 2018	MSS Portfolio - Inferring Drug Innovation with Adverse Events	Sayan Mukherjee
2018	MSS	Lavine, Isaac	Quantitative Researcher, Susquehanna International Group, LLP, July 2020
2018	MSS	White, Zachary	Senior Data Scientist, Capital One, August 2019	MSS Portfolio
2018	MSS	Hsu, Eric Tun-Chieh	Data Scientist, Google, August 2021	MSS Portfolio - Dynamic Factor Analysis in Internet Search Volume & Stock Volatility	Mike West
2018	MSS	Yan, Xingyu Vera	Senior Machine Learning Engineer, Meta, July 2023	MSS Portfolio Presentation - Empirical Study of Topic Modeling in Movie Recommendation	Surya Tokdar
2018	MSS	Dekmezian, Carmen	Analytics Manager, Trust and Safety, Pinterest, April 2020	MSS Portfolio - Machine Learning Methods for Spatial & Financial Applications	Colin Rundel
2018	MSS	Yin, Mengrui	Senior Business Intelligence Analytics Analyst, Carnival Cruise Lines, March 2020
2018	MSS	Kim, Woo Min	Ph.D. Program, Statistics, Florida State University, August 2018	MSS Portfolio - Multi-Scale Topological Data Analysis to Identify Brain Fiber Connectivity for Biological Systems Application	Fan Li
2018	MSS	Abraham, Cecily	Data Scientist at Booz Allen Hamilton, December 2018	MSS Portfolio - Trends in Balloon Catheter Dilation of Paranasal Sinuses	Sayan Mukherjee
2018	MSS	Shi, Xilin Cecilia	Principal Data Scientist, QuantumBlack , AI by McKinsey, June 2024	MSS Portfolio - Predicting Patient Admissions in the Medicare Shared Savings Program	Fan Li
2018	MSS	Coker, Beau	Ph.D. Program, Biostatistics, Harvard University 2018	MSS Portfolio - A Theory of Statistical Inference for Ensuring the Robustness of Scientific Results	Cynthia Rudin
2018	MSS	Huang, Huang Eden	Data Scientist I, II, Liberty Mutual Group, July 2019	MSS Portfolio - Comparing Model-Based Ranking Methods to Evaluate Physicians & Hospitals	Sayan Mukherjee
2018	MSS	Zhang, Liwen	Data Scientist, GM Financial, February 2019	MSS Portfolio - Statistical Modeling & Insights in Financial Industry
2018	MSS	Sun, Muyao Yolanda	Associate Data Scientist, VP Corporation, July 2018	MSS Portfolio - Comparison of Machine Learning Methods in the Estimation of Housing Prices	Surya Tokdar
2018	MSS	Li, Shaoji Jason	Business Analysis, Tencent, October 2020	MSS Portfolio - Python Implementation of Bayesian Hierarchical Clustering	David Banks
2018	MSS	Jia, Yimeng Emily	Product Scientist, Indeed, October 2018	MSS Portfolio - Prediction of Medication Non-Adherence with Clinical Notes	David Dunson
2018	MSS	Jiang, Yijun	Ph.D. Program, Statistical Science, Duke University, August 2018	MSS Portfolio - Evaluating Performance of Hospitals & Physicians Using a Binomial Generalized Linear Mixed Model	Surya Tokdar
2018	MSS	Jin, Xialingzi Kim	Senior Data Scientist, Wayfair, March 2020	MSS Portfolio - Text Analysis & Other Exploration	Jerry Reiter
2018	MSS	Wang, Luyang Lorraine	Data Analysis, China Postal Savings Bank Head Office, June 2020	MSS Portfolio - Evaluating the Performance of a Generalized Recommendation Engine for the Financial Services Industry	Mike West
2018	MSS	Li, Moyuan Claire	Data Scientist, Willis Towers Watson, TRANZACT, 2019	MSS Portfolio - Modeling Economic & Political Dynamics in the Middle East	Alan Gelfand
2018	MSS	Liu, Xichu Steve	Intern, Legal and Compliance, Bank of China, January 2018-March 2018	MSS Portfolio - Implementation & Applications of Bayesian Hierarchical Clustering	Mike West
2018	MSS	Wang, Xiaozhou	Data Scientist, Plymouth Rock Assurance, July 2018	MSS Portfolio - Predictive Analytics in Healthcare & Medical Data Exploration	Sayan Mukherjee
2018	MSS	Xu, Dewen Tracy		MSS Portfolio - Graph-Coupled HMMs & Deep Neural Network for Modeling Infection & Medical Diagnosis	Fan Li
2018	MSS	Gong, Liyu	Data Scientist, Protective Life, March 2020	MSS Portfolio - Applied Bayesian Methods for Text Mining	Surya Tokdar
2018	MSS	Zhu, Jiancong		MSS Portfolio - Analysis & Implementation of Classification Algorithms (Kmeans + +, CONCOR)	Surya Tokdar
2018	MSS	Wang, Yizheng	Research/Teaching Assistant, Stanford University, September 2018	MSS Portfolio - A Bayesian Forward Simulation Approach to Establishing a Realistic Prior Model for Complex Geometrical Objects	Alan Gelfand
2018	MSS	Amitai, Gilad	Senior Product Manager, Electronic Arts, July 2024	MSS En-Route - Bayesian Inference Via Partitioning Under Differential Privacy	Jerry Reiter
2018	MSS	Geng, Dawei	Data Scientist, Autodesk, February 2019	MSS Portfolio Poster - Bayesian Variable/Model Selection for the Time-Varying Autoregressive Model	Mike West
2018	MSS	Zhang, Hengqian	Data Scientist, Suning E-commerce, Nanjing, China, 2018
2018	MSS-MSC	Le, Anh Quoc	Research Scientist, Facebook Marketing R&D, August 2018	MSC Portfolio
2018	MSS-MSC	Zhang, Yizhe Jeremy	Research Scientist, Apple, June 2022	MSC Portfolio
2018	MSS-MSC	Zhou, Ran	Data Scientist, Machine Learning, SAP Labs, October 2018	MSC Portfolio - Application of Neural Networks with Joint Embedding for Medical Document Classification	Edwin Iversen
2019	MSS	Moran, Kelly	Statistician, Los Alamos National Laboratory, February 2021	MSS En-Route
2019	MSS	Talbot, Austin	Postdoctoral Research Fellow at Stanford University, School of Medicine, Psychiatry, January 2021	MSS En-Route
2019	MSS	Heck-Wortman, Joan (Jody) Pearson	Principal Data Scientist, Democratic National Committee, November 2022	MSS En-Route
2019	MSS	Lebovici, Lisa Rachel	Data Scientist, Forecasting Analytics, DispatchHealth, December 2020	MSS Portfolio - Applications of Sampling & Clustering Methods	Scott Schmidler
2019	MSS	Kamat, Gauri Manoj	Research Associate, EPA/UNC Chapel Hill, June 2019	MSS Portfolio - Multiple Imputation of Missing Covariates in Randomized Controlled Trials	Jerry Reiter
2019	MSS	Johnson, Tessa Margaret	Senior AI?ML Engineer, Fidelity Investments, July 2023	MSS Portfolio
2019	MSS	Hao, Yunlu	Product Manager, Fazz, June 2022	MSS Portfolio - Prediction on Default Risk with Statistical Methods	Peter Hoff
2019	MSS	Mang, Alexander Michael	Data Scientist, Battelle, January 2020	MSS En-Route - Extension of Predictive Models	Sayan Mukherjee
2019	MSS	Liu, Qi Dylan	Data Scientist, Wells Fargo, April 2019
2019	MSS	Zhang, Shuangjie	Ph.D. Program, Statistics Department, University of California, Santa Cruz, August 2019
2019	MSS	Li, Xuetong Miranda	Senior Data Scientist, 2nd Order Solutions, June 2019	MSS Portfolio - Application of Statistical Methods on Financial & Medical Data	Edwin Iversen
2019	MSS	Harrison, Walker Earl	Senior Analyst, Quantitative Analysis, New York Yankees, April 2024	MSS Portfolio - Modifications to Recent Baseball Research	Rebecca Steorts
2019	MSS	Li, Chunxiao	Senior Associate Data Science, Bain and Company, January 2021	MSS Portfolio - Rethinking Nonlinear Instrumental Variables	David Dunson, Cynthia Rudin
2019	MSS	Chen, Yunran	Ph.D. Program, Statistical Science, Duke University, August 2019	MSS En-Route - Testing Between Different Types of Poisson Mixtures with Applications to Neuroscience	Surya Tokdar
2019	MSS	Lin, Kangcheng	Ph.D. Program, Industrial Engineering, University of Illinois, August 2019	MSS Portfolio - An Interpretable Model with Globally Consistent Explanations for Credit Risk	Cynthia Rudin
2019	MSS	Huang, Junwen Lisa	Lead Data Science Consultant, Conduct Analytics & Reporting, Wells Fargo, April 2024	MSS Portfolio - Evaluation of Causal Inference Models for Estimation in Different Scenarios	Alex Volfovsky
2019	MSS	Li, Lianghui Victor	Data Analyst, Robinhood, November 2020	MSS Portfolio - Performance Data Analysis for Solid State Drive	Sayan Mukherjee
2019	MSS	Wang, Yixuan	Al Engineer, Bodygram, Inc., January 2021	MSS Portfolio - Application of Statistical Prediction Methods	Edwin Iversen
2019	MSS	Zhao, Yan	Data Scientist, Wells Fargo, August 2019	MSS Portfolio - Machine Learning for Healthcare	Mike West
2019	MSS	Lee, Jaeyeon	Ph.D. Program, Real Estate/Finance, University of California, August 2019	MSS Portfolio - Exploring Bayesian Time-Series with Financial Data	Edwin Iversen
2019	MSS	Chen, Yingshi	Product Scientist, Indeed, June 2019	MSS Portfolio - Predictive Modelings in Practice	Mike West
2019	MSS	Wang, Rui		MSS Portfolio - Using Biclustering Methods to Classify High-Dimensional Data	Robert Wolpert
2019	MSS	Ou, Rihui	Ph.D. Program, Statistical Science, Duke University, May 2019	MSS En-Route - Clustering-Enhanced Stochastic Gradient MCMC for Hidden Markov Models	David Dunson
2019	MSS	Lazzaro, John Charles	Ph.D. Program, Economics Department, University of Wisconsin, August 2019	MSS Portfolio - Forecasting the Term Structure of Interest Rates: a Bayesian Dynamic Graphical Model Approach	Mike West
2019	MSS	Hu, Xiyang Sean	Research Scientist, ByteDance 2024	MSS Portfolio - Optimal Sparse Decision Trees	Cynthia Rudin
2019	MSS	Wang, Kai Kyle	Senior Associate Data Scientist, Capital One, Washington, DC, August 2019	MSS Portfolio - Machine Learning Methods in Prediction	Sayan Mukherjee
2019	MSS	Welch, Sr., Matthew Matt Thomas	VeraSci, Raleigh, NC, 2019	MSS Portfolio - Phase Transitions in Linear Models & DID Causal Inference Analysis	Edwin Iversen
2019	MSS	Li, Yunxuan Ali	Product Scientist, Indeed, June 2019	MSS Portfolio - Application & Implementation of Machine Learning Methods	Scott Schmidler
2019	MSS	Truver, Daniel Joseph	Statistician, Census Bureau, November 2019	MSS Portfolio - Elections, Money and Measles	Robert Wolpert
2019	MSS	Bao, Yang Vera	Software Engineer, Huawei, June 2019-December 2020	MSS Portfolio - Applications of Statistical Models in Prediction	Scott Schmidler
2019	MSS	Greve, Jan Tomoya	Ph.D. Program, Vienna University of Economics & Business, September 2019	MSS Portfolio - Bayesian Applications in Time-Series	Mike West
2019	MSS	Wai, Melanie Lai	Data Science Analyst, McKinsey & Company, Atlanta, September 2019	MSS Portfolio - Approaches to Data Visualization & Prediction
2019	MSS	Zhu, Yi		MSS Portfolio - Unsupervised Exploratory Analysis Tool for Biclustering
2019	MSS	Chen, Jie	Quantitative Associate at Wells Fargo, June 2019	MSS Portfolio - Applied Machine Learning: Classification & Regression Examples	Peter Hoff
2019	MSS	Ye, Wenwen	Data Engineer, Tencent, Shenzhen, Guangdong, China, July 2019	MSS Portfolio - Time-Varying Auto-Regression Model & Spectral Analysis of Financial Data	Robert Wolpert
2019	MSS	Shao, Lingyun Steve	Artificial Intelligence Fellow, Insight Data Science, January 2020	MSS Portfolio - Anomaly Detection & Predictive Modeling for Autonomous Vehicles & Painting Cost	Jerry Reiter
2019	MSS	Fu, Ziqian Freya	Data Scientist, Charter Communications, Denver, CO, February 2020	MSS Portfolio - A Python/Scala Based Sample Size Calculation for Product Design Data	Jerry Reiter
2019	MSS	Ding, Jiayi Janice	Data Science Specialist, McKinsey & Company, March 2020	MSS Portfolio - Predictive Modeling & Causal Inference	Edwin Iversen
2019	MSS	Batista, Ricardo	Ph.D. Program, Research Assistant, Iowa State University, Statistics Department, August 2019	MSS Portfolio - Community Detection Thresholds in Heterogeneous Graphs	Peter Hoff
2019	MSS-MSC	Chen, Haohan	Postdoctoral Associate, The Center for Social Media and Politics, New York University, September 2020	MSC Portfolio - Bayesian Dynamic Network Modeling for Social Media Political Talk	Mike West
2019	MSS-MSC	Huo, Ran	Postdoctoral Researcher, University of Melbourne, March 2020	MSC Portfolio	Sayan Mukherjee
2019	MSS-MSC	Liu, Yanlan	Postdoctoral Scholar, Berkeley Lab, September 2020	MSC Portfolio-Applications of Bayesian Inferencer on Vegetated Ecosystem Properties	Scott Schmidler
2020	MSS	Cooper, Andrew H	Ph.D. Program, Statistics, Virginia Tech, Blacksburg, VA, August 2020	MSS Portfolio - Identifying Musical Similarities Across Geographical Regions	Merlise Clyde
2020	MSS	Zhang, Jingyi	Actuarial Senior Analyst, Cigna, July 2020	MSS Portfolio - A Statistical Model to Assess Hospitals Net Income & Ranking	Merlise Clyde
2020	MSS	Krapu, Christopher Luke	Research Associate in GeoAl, Oak Ridge National Laboratory, September 2020	MSS Portfolio
2020	MSS	Zhang, Kuazhuo Elaine	Senior Investment Associate,QMA, February 2020	MSS Portfolio - Spatio-Temporal Analysis of Gun Violence Victims & Its Relation with Unemployment Rate in the USA	David Dunson
2020	MSS	Voisin, Perry Sam	Data Scientist, Geometric Data Analytics, Inc., June 2020	MSS Thesis - An Application of Graph Diffusion for Gesture Classification	Sayan Mukherjee
2020	MSS	Poworoznek, Evan	Data Scientist/Sr. Consultant, Booz Allen Hamilton, Rome, NY, August 2020	MSS Thesis - Easy and Efficient Bayesian Infinite Factor Analysis	David Dunson
2020	MSS	Tang, Becky	Assistant Professor, Middlebury College (Vermont), September 2022	MSS En-Route - Bayesian Modeling for Annual Abundance in Ecological Communities Incorporating Sero-Inflation
2020	MSS	Cozzi, Brian Thomas	Data Scientist, Oak Street Health, May 2020	MSS Thesis - Bayesian Dynamic Network Modeling with Censored Flow Data	Mike West
2020	MSS	Tierney, Graham	Content Data Scientist, Netflix, 8/2023	MSS En-Route
2020	MSS	Zhou, Yuren Henry	Ph.D. Program, Statistical Science, Duke University, August 2020	MSS Portfolio - A Note of Hierarchical Incremental Gradient Descent on Riemannian Manifold	Sayan Mukherjee
2020	MSS	Klus, Jonathan	PhD Student, Department of Biostatistics & Computational Biology. University of Rochester School of Medicine and Dentistry, August 2020	MSS Portfolio - Developing a Clinical Decision Support Tool for Talaromycosis: A Case Study in Model Selection with Missing Data	Peter Hoff
2020	MSS	Ding, Xinyue Miranda	Research Associate, Biomedical start-up named Apostle in San Jose, December 2020	MSS Portfolio - Bayesian Item Response Modeling for Assessing State Interventions	Peter Hoff
2020	MSS	Yuan, Zheng	Ph.D. Program, Statistics, Northwestern University, August 2020	MSS Portfolio - Modified Leave-One-Out Cross Validation for Linear Model Selection	Peter Hoff
2020	MSS	Gong, Yiwei	Ph.D. Program, Statistics and Data Sciences, The University of Texas at Austin, 2020	MSS Portfolio - Modelling Diversity in the B Cell Repertoire	David Dunson
2020	MSS	Han, Bin	Ph.D. Program, University of Washington, Information Science Department, 2020	MSS Portfolio - Interpretable, Fair & Accurate Machine Learning for Criminal Recidivism	Peter Hoff
2020	MSS	Si, Zhen Han Ricky	Machine Learning Engineer at Palo Alto Networks, Santa Clara, CA, May 2019	MSS Portfolio - Web Attack Detection Using Deep Learning	Merlise Clyde
2020	MSS	Ren, Yangfan	Ph.D. Program, Statistics, Rice University, August 2020	MSS Thesis - Missing Data Imputation for Voter Turnout Using Auxiliary Margins	Jerry Reiter
2020	MSS	Coronado Sroka, Eduardo	Expert Engagement Manager, McKinsey & Company, May 2023	MSS Portfolio - Hierarchical Mixed Model for Influenza Outbreak Detection	Sayan Mukherjee
2020	MSS	Fu, Siqi	Machine Learning LDP Analyst, Restaurant Brands International, September 2020	MSS Portfolio - Bayesian Hierarchical Model Evaluating Heart Surgical Program	Sayan Mukherjee
2020	MSS	Song, Lingxi	Financial Manager, SPD Bank, Shenzhen, China, 2020	MSS Portfolio - Analysis & Implementation of K-Means++ with Parallel Initialization	David Dunson
2020	MSS	Xu, Yuwei Emma	Investment Fellow, T. Rowe Price, October 2020	MSS Thesis - Construction of Objective Bayesian Prior from Bertrand's Paradox & the Principle of Indifference	Sayan Mukherjee
2020	MSS	Valancius, Michael	Ph.D. Program, UNC-Chapel Hill, Biostatistics Dept., August 2020	MSS Portfolio - Integrating Record Linkage & Propensity Score Matching	David Dunson
2020	MSS	Lin, Yizi	Ph.D. Program, Statistics, UC Santa Barbara, August 2021	MSS Portfolio - Bayesian Diagnosis Model for Fever in Moshi, Tanzania	David Dunson
2020	MSS	Zhao, Mingjie	Data Scientist(QAS), Wells Fargo, July 2020	MSS Portfolio - A Machine Learning Case Study from An Insurance Data Set	Scott Schmidler
2020	MSS	Su, Eric	Sr. Analyst, In4mation Insights, October 2020	MSS Thesis - Analyzing Amazon CD Reviews with Bayesian Monitoring and Machine Learning Methods	David Banks
2020	MSS	Kim, Min Chul Peter	Quantitative Analyst Intern, Apex Analytix, LLC - Internship, May 2019-August 2019	MSS Portfolio - Email Classification with Machine Learning	Sayan Mukherjee
2020	MSS	Zhu, Ziwei Sophia	Machine Learning Researcher, Translational Image Analysis and Machine Learning Center, Yale University, July 2020	MSS Portfolio - Study of Hierarchical Model Applications on Amphetamines	Merlise Clyde
2020	MSS	Wang, Zixi	Software Engineer, Amazon, 2020	MSS Portfolio - Generating Cartoon Characters with Style Generative Adversarial Network	Merlise Clyde
2020	MSS	Jiang, Xiaoyu Billy	Applied Scientist, Amazon, July 2020	MSS Portfolio - Quantification of Cross-Shopping in E-Commerce	David Dunson
2020	MSS	Wilson Kreizenbeck, Jennifer	Sr. Manager, 2nd Order Solutions, July 2023	MSS Portfolio - Hierarchical Modeling for Ranking Pediatric Heart Surgery Mortality	Sayan Mukherjee
2020	MSS-MSC	Li, Didong	Postdoctoral Research Associate, Princeton University, September 2020	MSC Portfolio - Density Estimation with Mixture of Spherelets	Peter Hoff
2020	MSS-MSC	Zhong, Chudi	Ph.D. Program, Duke Computer Science, August 2020	MSC Portfolio - Generalized and Scalable Optimal Sparse Decision Trees	Edwin Iversen

Year	Program	Name	Employment	Completion Exercise	Advisor Name
2021	MSS	Monge, Felipe Ossa		MSS Portfolio	David Dunson
2021	MSS	Tang, Jiurui	Research Technician II, Department of Neurobiology, Duke University School of Medicine	MSS En-Route	Jerry Reiter
2021	MSS	Nwankwo, Ezinne	PhD Student, EECS, UC Berkeley, Fall 2021	MSS Portfolio	Jerry Reiter
2021	MSS	Song, Jiayun	Data Science Associate, Warner Music Group, New York, NY	MSS Portfolio	Jason Xu
2021	MSS	Lindner, Donald George	Advisory Data Scientist 360CRM, IBM, January2023	MSS Portfolio	David Banks
2021	MSS	Hung, Frances Wing-Yan	Biostatistician II, Duke Biostatistics & Bioinformatics Department, September 2021	Non-Thesis Master	Amy Herring
2021	MSS	Zhang, Zewen	Quantitative Analyst, Soochow Securities, Beijing, China	MSS Portfolio	Jerry Reiter
2021	MSS	Wang, Ziang	Data Science Advisor, Dell Technologies, 2021	Differentially Private Counts with Additive Constraints	Jerry Reiter
2021	MSS	Liu, Bo	PhD Student, Duke Statistical Science	Multiple Imputation Inferences for Count Data	Jerry Reiter
2021	MSS	Qiu, Zhi Heather	NLP Algorithm Engineer, Alibaba Group, Hangzhou, China	MSS Portfolio	Li Ma
2021	MSS	Deng, Machao	Data Analyst, Lockerdome, 2021	MSS Portfolio	Simon Mak
2021	MSS	Yang, Mingxuan	Data Scientist, iHeartMedia, November 2022	MSS Portfolio	David Banks
2021	MSS	Tian, Zhenyu	Quantitative Analytics Specialist, Wells Fargo, Charlotte, NC	MSS Portfolio	Simon Mak
2021	MSS	Zhang, Yizi	PhD Student, Columbia University, Statistical Science	MSS Portfolio	Shawn Santo
2021	MSS	Yin, Jishen	Meituan, Beijing, China	MSS Portfolio	Surya Tokdar
2021	MSS	Ramachandran, Vidvat	PhD Student, Duke University Statistical Science, August 2021	MSS Portfolio	Alex Volfovsky
2021	MSS	Deng, Di Daniel	Bioinformatician, Duke Cancer Center	Hierarchical Signal Propagation for Household Level Sales in Bayesian Dynamic Models	Mike West
2021	MSS	Jacobson, Lucie	Senior Business Intelligence Analyst, Dana-Farber Cancer Institute, June 2024	MSS Portfolio	Amy Herring
2021	MSS	Wu, Chenxi	Data Scientist, Alibaba Group, Hangzhou, China	MSS Portfolio	Peter Hoff
2021	MSS	Gardan, Pierre	Analyst, Marketing Science, Domino's, Ann Arbor, MI, July 2021	MSS Portfolio	Mike West
2021	MSS	Mo, Xiangwen		MSS Portfolio	Surya Tokdar
2021	MSS	Winter, Steven	PhD Student, Duke Statistical Science	Multi-Scale Graph Principal Component Analysis for Connectomics	David Dunson
2021	MSS	Lee, Jae Hyun	Korea Credit Information Service, 2021	MSS Portfolio	Maria Tackett
2021	MSS	Cheng, Gongjinghao	Strategy Analyst, American Credit Acceptance, 2021	MSS Portfolio	Galen Reeves
2021	MSS	Wyse, Evan	Applied Scientist, Amazon, August 2021	MCMC Sampling Geospatial Partitions for Linear Models	Jonathan Mattingly
2021	MSS	Greenberg, Morris	PhD Student, University of Toronto, Statistics Department	Logistic Tree Gaussian Processes (LoTgGaP) for Microbiome Dynamics and Treatment Effects	Li Ma
2021	MSS	Ma, Zining	Quantitative Analyst, Highfort Investment, Shanghai, China, August 2021	An Euler Characteristic Curve Based Representation of 3D Shapes in Statistical Analysis	Sayan Mukherjee
2021	MSS	Palazzo, Lauren	DO NOT PUBLISH	MSS Portfolio	Merlise Clyde
2021	MSS	Shen, YueMing Christine	PhD Student, Duke Statistical Science	Comparison of Bayesian Inference Methods for Probit Network Models	Peter Hoff
2021	MSS	Juracek, Cole	Data Scientist, Proofpoint, 2021	MSS Portfolio	David Dunson
2021	MSS	Mi, Yi	Software Development Engineer, Bloomberg, July 2021	MSS Portfolio
2021	MSS	Lu, Qianyin	Data Scientist, Paypal, September 2022	MSS Portfolio	Ed Iversen
2021	MSS	Li, Linlin	Data Scientist, Visa, June 2022	Bayesian Inference on Ratios Subject to Differentially Private Noise	Jerry Reiter
2021	MSS	Ni, Tao		MSS Portfolio	Fan Li
2021	MSS	Song, Yiping	Data Analyst, China Petroleum Finance Co., Ltd., Beijing, China	MSS Portfolio	Alex Volfovsky
2021	MSS	Wu, Bingruo Lindsay	Product Sr. Analyst, Dell Technologies, 2021	MSS Portfolio	Li Ma
2021	MSS	Frank, Quinn	Data Scientist I, Lubrizol Corp, .July 2021	MSS Portfolio	Fan Li
2021	MSS	Chen, Jiawei	Consultant, Traveler's Insurance, Hartford, CT	MSS Portfolio	Rebecca Steorts
2021	MSS	Zhou, Alicia		MSS Portfolio	Maria Tackett
2021	MSS	Chen, Yiqian Peyton	Sr. Associate, Financial Accounting Advisory Services, Digital Team, Ernst & Young, January 2022	MSS Portfolio
2021	MSS-MSC	Carr, Andrew	Data Science Intern, Genworth Mortgage Insurance	MSS Portfolio	Jerry Reiter
2021	MSS-MSC	An, Chen	Quantitative Research Associate, JP Morgan, January 2022	MSC Portfolio - Cocaine Use Prediction with Machine Learning on MRI Connectome Data	Yuansi Chen
2022	MSS	Reddy, Aasha	Sr. Quantitative User Experience Researcher, Twitter, Remote	MSS Portfolio	Beka Steorts
2022	MSS	Lei, Kun "Lucy"	Financial Analyst, Partners Group, Denver	MSS Portfolio	Merlise Clyde
2022	MSS	Beckner, Madeleine	Ph.D. Program, Statistics, UCLA	MSS Portfolio	Beka Steorts
2022	MSS	Gentles, Emily	Statistician, RTI, Durham
2022	MSS	Huang, Xige	IT Consultant, Accenture China, Beijing	MSS Portfolio	Fan Li
2022	MSS	Kravec, Robert	Graduate Quantitative Trader, IMC, Chicago	MSS Portfolio	Merlise Clyde
2022	MSS	Chester, David	Quantitative Researcherm Federal Reserve Bank of Atlanta, Sep 2022		Mike West
2022	MSS	Chester, David	Quantitative Researcher, Federal Reserve Bank of Atlanta, September 2022	MSS Portfolio	Fan Li
2022	MSS	Wang, Qinzhe	Data Scientist, Didi, Shanghai	MSS Portfolio	Beka Steorts
2022	MSS	Agrawal, Raghav	Senior Data Scientist, FedEx Dataworks, September 2023	MSS Portfolio	Fan Li
2022	MSS	Fu, Ruijue Nancy	Intern, ACQUCO, Remote	MSS Portfolio	Merlise Clyde
2022	MSS	Zhang, Rumo	Data Scientist, Autodesk, August 2022	MSS Portfolio	Beka Steorts
2022	MSS	Li, Aihua	Ph.D. Program, Statistical Science, Duke University	Bayesian Coupling: A Decision Theory-Based Approach to Bayesian Variable Selection	Surya Tokdar
2022	MSS	Yang, Congwei	Ph.D. Program, Statistics, University of Wisconsin - Madison	Numerical Approximation of Gaussian-Smoothed Optimum Transport	Galen Reeves
2022	MSS	Mansfield, Sarah	Analyst I - Data Science, Liberty Mutual, Boston	MSS Portfolio	Merlise Clyde
2022	MSS	Fang, Yuan Ryan	Software Development Engineer, Amazon, Seattle	MSS Portfolio	Merlise Clyde
2022	MSS	Zhou, Lingyu	Actuarial Assistant, Voya Financial, August 2022	MSS Portfolio	Jerry Reiter
2022	MSS	Liu, Weiyi	Data Analyst, ByteDance, Shanghai	MSS Portfolio	Merlise Clyde
2022	MSS	Yurtbay, Emre	Research Data Scientist, Meta, Menlo Park, CA	MSS Portfolio	Beka Steorts
2022	MSS	Yang, Chengxin	Biostatistician II, Duke University School of Medicine, June 2022 PhD Student, Biostatistics, Duke University, August 2024	A Differentially Private Bayesian Approach to Replication Analysis	Jerry Reiter
2022	MSS	Sarkis, Michael	Data Scientist, 2nd Order Solutions, Richmond	MSS Portfolio	Fan Li
2022	MSS	Brooks, Marc	Ph.D. Program, Statistics, University of Michigan	MSS Portfolio	Merlise Clyde
2022	MSS	Chen, Yuxuan	Analyst, Huatai Securities Company	MSS Portfolio	Fan Li
2022	MSS	Zhu, Fan	Risk Analyst, Morgan Stanley, New York, June 2022	MSS Portfolio	Beka Steorts
2022	MSS	Zeng, Guanqi	Senior Statistician, IQVIA, Durham, NC	MSS Portfolio	Beka Steorts
2022	MSS	Xu, Gaojia	Data Mining Engineer, Taikang Life Insurance Co., Ltd, Beijing	MSS Portfolio	Beka Steorts
2022	MSS	Zheng, Haoliang	Ph.D. Program, Statistics, National University of Singapore	Computational Challenges to Bayesian Density Discontinuity Regression	Surya Tokdar
2022	MSS	Shi, Chaojun "Cathy"	Data Scientist, Hortifrut, SA (HF), Miami	MSS Portfolio	Fan Li
2022	MSS	McCarthy, Jack	Data Scientist, Autodesk, Remote	MSS Portfolio	Fan Li
2022	MSS	Zhang, Yijia		MSS Portfolio	Merlise Clyde
2022	MSS	Shen, Yanqin	Algorithm Engineer, Meituan, Shanghai	MSS Portfolio	Fan Li
2022	MSS-MSC	Byun, Yoon Woo "Billy"	Machine Learning Neurophysiologist, Precision, November 2022	MSS Portfolio	Peter Hoff
2022	MSS-MSC	Morucci, Marco		An Investigation into the Bias and Variance of Almost Matching Exactly Methods	Alexander Volfovsky
2023	MSS	Antoun, Johnny	Data Scientist, 2nd Order Solutions, April 2023
2023	MSS	Du, Jacquelyn
2023	MSS	Dockman, Matthew
2023	MSS	Ma, Chiyu	PhD Student, Computer Science, Dartmouth College, September 2023
2023	MSS	Reynolds, Alison	Data Scientist, Boston Consulting Group
2023	MSS	He, Qin	Software Engineer Intern, NetApp, June 2024
2023	MSS	Wu, Youran
2023	MSS	Dey, Pritam	Postdoctoral Researcher, Texas A&M University, 9/16/2023
2023	MSS	Nguyen, Phuc	Research Data Scientist, LinkedIn, 9/2023
2023	MSS	Zhang, Xiaozhu	Ph.D. Program, Statistics, University of Washington, August 2023
2023	MSS	Chen, Sijie	Data Scientist Associate, J.P. Morgan Chase & Co., September 2023
2023	MSS	Singh, Jaskaran	Data Scientist, Google
2023	MSS	Lu, Shiting Dylan		MSS Capstone
2023	MSS	Park, Yoon Sup
2023	MSS	Pan, Tiancheng	Data Scientist, TriEdge Investments, March 2024	MSS Portfolio
2023	MSS	Tian, Xuyang	Data Scientist, The Voleon Group
2023	MSS	Gao, Hui	Data Scientist, Walmart
2023	MSS	Schmidt, Emma
2023	MSS	Amore, Andrew	Machine Learning Engineer, Pfizer June 2023
2023	MSS	Ma, Yihan	Transaction Analyst, Phoenix, August 2023.	MSS Portfolio
2023	MSS	Li, Tianhao
2023	MSS	Fu, Linhui
2023	MSS	Shen, Jiaao Susie	Rotational Analyst, Envestnet	MSS Portfolio
2023	MSS	Huang, Ranxin Nancy	Analyst I, Data Science, Liberty Mutual Insurance, June 2023
2023	MSS	Fremgen, Richard	Quantitative Risk Analyst, Brookfield Public Securities
2023	MSS	Wang, Xiaoyu	R&D Data Scientist, Johnson & Johnson
2023	MSS	Liu, Zheyuan	Data Analyst Academy, IQVIA
2023	MSS	Bai, Eric		MSS Portfolio - Bayesian Record Linkage	Peter Hoff
2023	MSS	Yi, Yi	Actuarial Analyst, CVSHealth
2023	MSS	Gao, Yaze
2023	MSS	Zhao, Zhihui	Statistical Programmer, ORAU, July 2023
2023	MSS	Jiang, Haoyu
2023	MSS	Song, Xinran
2023	MSS	Dahl, Nicholas	Data Consultant, Carbon Containment Lab, May 2020
2023	MSS	Ekpenyong, Joseph
2023	MSS	Lu, Lexin
2023	MSS	Zhang, Yibin Stella	Business Analyst, Global Lending Services, LLC, June 2023
2023	MSS	Luo, Yili
2023	MSS	Wang, Jiongran
2023	MSS	Lin, Tong
2023	MSS	Pliego San Martin, Jose	Data Scientist, Liberty Mutual Insurance
2023	MSS	Yan, Xiaoyue	Associate Data Scientist, Travelers
2023	MSS	Tang, Tengjie TJ	PhD Student, Penn State University, August 2023
2023	MSS	Zhou, Chuhan	Data Analytics Specialist, Infotech Consulting
2023	MSS	Chen, Yesen
2023	MSS	Yu, Yue Camilla	Actuarial Analyst, Aetna, CVS Health, June 2023
2024	MSS	Varberg, Nathan	Marketing Data Science Intern, IBM, May 2024
2024	MSS	Wang, Linxuan	PhD Student, Statistics, Purdue University, August 2024	Bayesian Sparse Learning of Joint Quantile Planes Estimation
2024	MSS	Bi, Yuchen	Manager, Decision Scientist, American Express, July 2024	Portfolio
2024	MSS	Guerrero Castaneda, Alonso Martin	Quantitative Researcher, Kepos Capital, L.P. July 2024	Portfolio
2024	MSS	Zhou, Xingzhi Joyce	Data Scientist, Merck, July 2024	Portfolio
2024	MSS	Shen, Yicheng	PhD Candidate, Biostatistics, Johns Hopkins University, Aug 2024	Thesis, Understanding Contributions of Indirect and Direct Evidence to Statistical Power in Bayesian Network Meta-Analyst: Simulation Studies and Real-World Applications

Our Undergrad Alums

Year	Program	Name	Employment	Completion Exercise	Advisor Name
2009	Ugrad	Clark, Anne Louise	Data Scientist, University of California, San Francisco, December 2020	Identifying Population Structure in SNP Data
2009	Ugrad	Gehring, Ryan Daniel	Data Science Facebook, October 2017	Statistics in Poker	David Banks
2009	Ugrad	Tolson, Matthew David	Director, Comscore Inc., July 2009	Mapping Language Processing in the Brain	Merlise Clyde
2009	Ugrad	Reeson, Craig Robert	Portfolio Manager, Researcher, Kepos Capital, March 2022	Graduation with Highest Distinction - Financial Time Series Graphical Modelling and Portfolio Analysis	Mike West
2009	Ugrad	Bhupalam, Nihar Chandra	Group Product Manager, YouTube, June 2020	Graduation with Distinction - Statistical Analysis of the Housing Market on a Regional Basis	Mike West
2010	Ugrad	Lyngaas, Michael Anthony	Contributor and PM Interview Coach, Rocketblocks 2020	Using Random Forests to Multiply Impute Missing Data	Jerry Reiter
2010	Ugrad	McCormack, Sean M	Co-Founder, Stockfuse.com, April 2012	Modeling and Forecasting of Extreme Stock Market Returns
2010	Ugrad	Cai, Haolan	Sr. Financial Analyst, Capital One Finance, 2010	Bayesian Modelling and Analysis of Stochastic Volatility	Mike West
2010	Ugrad	Joo, Eun Grace	Data Scientist, Biogen, September 2020	Variability in Human Chorionic Gonadotropin Clearance Rate Following Very Early Pregnancy Loss
2010	Ugrad	Hinnant, Adam L	Director, Commodity Trading, Wells Fargo Securities, March 2016	Statistical Modeling of Volatility in the Financial Markets
2010	Ugrad	Lee, Sharon	Product Manager, YouTube Ads, Google, August 2020	Testing Statistical Transcription Factor-Binding Site Interactions and ZNF217 Contribution to Coronary Artery Disease Risk
2011	Ugrad	Magee-Weber, Katherine Elizabeth	Product Manager, Global Marketing, Abbott, June 2022	Statistics in cancer genomics	Merlise Clyde
2011	Ugrad	Zheng, Siyu	BI Analyst, Alaska Airlines, August 2016	Modelling Non-Ignorable Missing Data Mechanism in Panel Studies Using Refreshment Samples	Jerry Reiter
2011	Ugrad	Seo, Michael J	Ph.D. Program, Biostatistics, Institute of Social and Preventive Medicine, University of Bern, Switzerland, 2019	Graduation with High Distinction - Improved MCMC Sampling for Bayesian CART	Scott Schmidler
2011	Ugrad	Hwang, Jao-Hong Colin	Lead Rick Adjustment Consultant, Blue Cross Blue Shield of California, December 2020	Causal Inference with Intermediate Variables	Fan Li
2011	Ugrad	Duan, Hudson H	Actor/Writer/Producer, High Fantasy Pictures, February 2017	LSAMP and GATA2: A Study of Correlation Between Two Genes Associated with Coronary Artery Disease
2011	Ugrad	Oh, Yoonsoo Amy		Statistical Issues in Metabolomics: Bayesian Inference for Ion Detector Machines	David Banks
2011	Ugrad	Zhu, Yiwen	Founding Partner & Portfolio Manager, Lorica Asset Management, August 2018	Graduation with Highest Distinction - Contagion: Extreme Values in International Equity Markets	Rebecca Steorts
2011	Ugrad	Hang, Derrick M	Senior Manager, Analytics, Affirm, Inc., December 2020	Graduation with Highest Distinction - High-Frequency Bayesian Modeling and Analysis of Stochastic Volatility in Finance	Mike West
2011	Ugrad	Timsah, Jamal	Senior Manager, Data Science, Blue Cross and Blue Shield of Illinois, Montana, New Mexico, Oklahoma & Texas, June 2018	Normative Data for Visual, Auditory, and Sentence Completion Word-Finding Using the Snodgrass and Vanderwart 260-Object Set	Merlise Clyde
2011	Ugrad	Zhou, Xiaocong Sailor	Director, Investment Banking, Climate Technology, Bank of America, Merrill Lynch, April 2013	Graduation with Highest Distinction - Dynamic Factor Volatility Correlation Models	Mike West
2011	Ugrad	McGuire, Aaron	Lead Data Scientist & Technology Head, 2nd Order Solutions, August 2015	Effects of Position and Baseline Age on NBA Player Production Curves	Jerry Reiter

Year	Program	Name	Employment	Completion Exercise	Advisor Name
2012	Ugrad	Kang, Young-Su	Manager, Mirae Asset Global Investments, March 2019	Volatility Forecasting: Extended Stochastic Volatility Model	Surya Tokdar
2012	Ugrad	Fan, Melanie M	Vice President, Ampersand Capital Partners, August 2018	Graduation with Distinction - Dynamic Factor Models in International Equity Markets	Surya Tokdar
2012	Ugrad	Jiang, Yue	Assistant Professor, Statistical Science, Duke University, January 2020
2012	Ugrad	Hwang, Jacob	Business Intelligence Engineer II, Amazon, November 2018	Impact of Family History on Patient Behavior	Elizabeth Hauser
2012	Ugrad	Eastman, William R	Lead Data Scientist, Players Lounge, 2022	Bayesian Non-Stationary Modeling of Extreme Values in Interest Rate Fluctuation	Surya Tokdar
2012	Ugrad	Skinner, Lindsey Kershaw	Strategy and Customer Insights Manager, Software and Platforms, Accenture, June 2012	Biomarker Prediction of HIV Infection	James Berger
2012	Ugrad	Berchuck, Samuel	Assistant Professor, Biostatistics and Bioinformatics, Duke University, September 2023	Graduation with Distinction - Identifying Point Mutations in High-Throughput RNA Sequencing Data	Joseph Lucas
2012	Ugrad	Gustafson, Sarah H	Growth Lead, Gusto, August 2022	Spatial and Temporal Bayesian Hierarchical Modeling of Ecological Data
2012	Ugrad	Bastian, Peter Bartlett	Director, Finance & Strategy, Spray Products Corporation, March 2019	Examining Influences of the Sharp Decline in U.S. Automobile Accident Fatalities, 2004-2009	David Banks
2012	Ugrad	Cohen, Jonathan L	M&A Advisory Manager, Deloitte, August 2018	Interactive Agent-Based SIR and Gravity Models with Applications to the H1N1 Flu Pandemic (2009) in California	David Banks
2012	Ugrad	Gierada, Sonya Elise	Head of Data Science, Marketing, Carwow, October 2018	The Basis of Oasis: An Investigation of the Effect of an Online Literacy Platform on Longitudinal Growth in Reading Ability	James Berger
2012	Ugrad	Xie, Meng Amy	Ph.D. Program, Statistical Science, Duke University, May 2018	Graduation with Highest Distinction - Discount-Weighted Bayesian Model Averaging for Portfolio Decisions in Matrix Variate Dynamic Linear Models	Mike West
2012	Ugrad	Petrova, Ekaterina A	Founder, Ruby Ray, July 2017	Employing Regression Discontinuity Design to Evaluate Grant Effect on Dropout Rate in Italian Universities	Fan Li
2012	Ugrad	Tenekedjieva, Ana-Maria K	Economist, Federal Reserve Board	Graduation with Distinction - Missing Data in Financial Modeling	Michael Brandt, Dalene Stangl
2012	Ugrad	Yuan, Xiaoxiao Kate	Senior Manager, International Business Development, Tencent Pictures, November 2018	Graduation with Distinction - Persistence, Leverage Effects, Jumps and Heavy-tails in International Equity Markets	Li Ma
2012	Ugrad	Cannon, Andrew James	Basketball Operations Analyst, Boston Celtics, July 2013	Protecting the Basketball Careers of High School Prospects Through Multiple Regression Series	Jerry Reiter
2012	Ugrad	Chan, Adrian		Pricing Financial Derivatives with Multi-Task Machine Learning and Gaussian Process Regression	Sayan Mukherjee
2013	Ugrad	Gong, Yoohyeon	Growth Team Lead, Lightning Market, Bungaejangter, Inc. April 2020	Comparative Effectiveness Research: Cost-Effectiveness Analysis Using Bayesian Method
2013	Ugrad	Cheng, Christine H	Senior Actuarial Associate, Kaiser Permanente, May 2020	Graduation with Highest Distinction - Missing Data Refreshment Samples	Jerry Reiter
2013	Ugrad	Hascoe Baumrin, Amanda Leigh	Director of Finance, Philo, August 2023	The Yahoo! Music Rating Challenge	David Banks
2013	Ugrad	Bowley, Rachel Lyn	Senior Data Scientist-Growth Research and Strategy, Spotify, Stockholm, Sweden, January 2021	Bayesian Methods for Biomarker Predictions of HIV Infection
2013	Ugrad	Kim, Arthur Sohn	Ph.D. (Finance), University of Rochester's Simon School of Business Administration	Variance in Volatility: A Foray into the Analysis of the VIX and the J.P. Morgan RiskMetrics Model with Regard to the Standard and Poor 500
2013	Ugrad	Byrum, William Travis	Software Engineer, Sayari Labs, May 2019	Wavelet Based Analysis of Accelerometer Profiles in Fitness Intervention Study	Surya Tokdar
2013	Ugrad	Fu, Minyang Jack	Postdoctoral Research Fellow, Harvard Medical School -Massachusetts General Hospital, June 2018	Graduation with Distinction - On the Variance-Bias Tradeoff of Propensity Score Weighting	Fan Li, Surya Tokdar
2013	Ugrad	Chiraz Fava, Julianne M	Analytics Manager, LiveRamp, January 2021	Causal Inference in Observational Studies: Estimating the Relationship between Physical Activity and Life Satisfaction
2013	Ugrad	Li, Kequan Ted	AVP & Actuary, Munich RE, September 2024	Spatial Analysis on the North Carolina Detailed Birth Records	Mine Cetinkaya-Rundel
2013	Ugrad	Balthazar, David	Operations, Virtual Kitchen Co, August 2019	Graduation with Distinction - A Statistical Explanation for the Fall in U.S. Automobile Fatalities
2013	Ugrad	Li, Daniel	College of Medicine MD/Ph.D. Program at Ohio State University, MD component started 2014 and Harvard University, Biostatistics PhD component started 2018	Graduation with Highest Distinction - Accounting for Concomitant Variables: Lipid Adjustment for Chemical Exposures
2013	Ugrad	Pulisetty, Tejas	Radiology Residency Program, Saint Louis University, School of Medicine, 2017	Bayesian Method of Identifying and Distinguishing Gene Regulatory Effects in eQTLs with Weighted Adjacency Networks
2014	Ugrad	Pospisil, Taylor G	Data Scientist, Google, June 2019	Graduation with Distinction - Exploring Political Blog Data with Dynamic Topic Modeling	David Banks
2014	Ugrad	Zhang, Yuci Jenny	Associate, Morgan Stanley Expansion Capital, Morgan Stanley, June 2016	Graduation with Distinction - Stochastic Beta Modeling for Asset Pricing by Sector in U.S. Equity Markets	Li Ma
2014	Ugrad	Spangher, Lucas	PhD candidate in Electrical Engineering and Computer Science, University of Berkeley, August 2017	Graduation with Highest Distinction - Emulation, Interpolation, and Classification of a Wind Turbine Fluid Model	James Berger
2014	Ugrad	Bu, Fan Loretta	Fixed Income Investment Analyst, Capital Group, September 2021	Analysis for Survival Model of ICD Data
2014	Ugrad	Liao, Shirley Xueli	Senior Biostatistician, Biogen, August 2019; Doctoral Researcher, Harvard T.H. Chan School of Public Health, August 2014	Cross Analysis of Insulin Pump Therapy Using Bayesian Hierarchical Modeling	Dalene Stangl
2014	Ugrad	Cohen, Brittany J	Director, Technical Program Manager, Mastercard, July 2020	Detecting Bullying in Social Networks	Katherine Heller
2014	Ugrad	Levac, Gabrielle	Director of Product, Progress Tracking & Personalization, Equinox Media, February 2021	Graduation with Distinction - Model Selection of Hierarchical Bayes Conjoint Analysis	Merlise Clyde
2014	Ugrad	Hudson, Kayla Mariko	Medical Student, Albany NY	Bayesian Modeling of Tissue-Specific Gene Expression	Barbara Engelhardt
2014	Ugrad	Ruffin, Matthew Joshua	Analyst, Advanced Scouting, Minnesota Twins, January 2019	Call to the Bullpen: The Effectiveness of Pitching Changes Made Near the End of Professional Baseball Games	Jerry Reiter
2014	Ugrad	Deng, Mengran Tony	Senior High Yield Analyst, Broadcasting, Outdoors, & Theaters, Citi, January 2019	New Bayesian Decision Strategies for Multi-Period Portfolios	Mike West
2014	Ugrad	Dong, Qi Tracy	Staff Scientist, Fred Hutch, Seattle, WA, October 2020	Graduation with Distinction - Tree Growth Inference and Imputation Using Bayesian Hierarchical Modeling	Alan Gelfand, Fan Li

Year	Program	Name	Employment	Completion Exercise	Advisor Name
2015	Ugrad	Lee, Sang Woo Phillip	MPP Student in Ford School of Public Policy, University of Michigan-Rackham Graduate School, 2017	Bayesian Model to Minimize the Loss from Loan Default
2015	Ugrad	Richter, Benjamin Joseph	Co-Founder, Wake & Late, June 2016	Over Easy Delivery Optimization Through Agent-Based Models
2015	Ugrad	Song, Zhiang Sean	Litigation Associate, Kirkland & Ellis, September 2020	Bayesian Hierarchical Model for Consumption Behavior in Ireland's Electricity Smart Metering
2015	Ugrad	Lee, Joshua	Chief Operating Officer, Yilian Education Technology, June 2015	A Bayesian Approach to Estimating Climate Change in the Atlantic
2015	Ugrad	Kim, Lorienne Sohn	Ph.D. Program, Emory University - Goizueta Business School, 2020	Using Bayesian Additive Regression Trees for Generating Synthetic Public Use Files	Jerry Reiter
2015	Ugrad	Zheng, Zenia	Marketing Science, APAC Gaming, Facebook Singapore, August 2019	Graduation with Distinction - Simulating Complex Predator-Prey Dynamics Using Agent-Based Models	Cynthia Rudin
2015	Ugrad	Dai, Yue Diana		The Causal Effect of Extreme Temperatures on US Mortality Rates	Surya Tokdar
2015	Ugrad	Wu, Kevin	Machine Learning Software Engineer, DeepHealth, August 2018	Detection Click Fraud in Online Advertising Using Machine Learning	Mike West
2015	Ugrad	Roeder, Daniel E	High School Math Teacher, Winston Prep School, November 2020	Bayesian Portfolio Optimization	Scott Schmidler
2015	Ugrad	Shapiro-Spetalnick, Heather B	Technical Program Manager, Amazon Alexa, Boston, MA, October 2019	Graduation with Distinction - A Bayesian Approach to Understanding Music Popularity	Merlise Clyde
2015	Ugrad	McKiernan, Ian D	Analyst, The Icebox Cool Stuff, February 2021	Predicting the Probability of Injury in College Athletes
2015	Ugrad	Scanlon, Meghan	Associate Brand Manager Intern, Betty Crocker, General Mills, June 2020	A Statistical Review of Duke University Medical Center's Case-Based Measure of Pathology Resident Performance	Mine Cetinkaya-Rundel
2015	Ugrad	Willoughby, Jonathan J	Associate, Hellman & Friedman, June 2019	Improving Matching Between Interest Rates and Borrower Riskiness in Microfinance Loans
2015	Ugrad	Ballard, Tristan C	Technical Research Fellow, Sust Global, June 2020; Ph.D. Program, Stanford University, August 2015	Graduation with Distinction - Alternative Approaches to Multi-Model Averaging of Climate Simulations	David Banks
2015	Ugrad	Moondra, Avinash	Software Engineer, Stealth Startup-Contract, July 2020-September 2020	Increasing Access to and Quality of Introductory Statistics Education	Mine Cetinkaya-Rundel
2015	Ugrad	Desilets, Stephen J	Senior Consultant, Deloitte Consulting, May 2021	A Statistical Approach to Risk Reduction in the Microfinance Market
2015	Ugrad	Woody, Spencer A	Graduate Research Assistant, University of Texas at Austin, August 2017	An Exploration of Citi Bike, New York City
2015	Ugrad	Britain, William Travis	MBA Candidate, Harvard Business School, 2020	Predicting Acceptance of Deceased Donor Kidneys for Transplantation: A Bayes Impact Project
2015	Ugrad	Weishampel, Anthony C	Ph.D. Student in Statistics, NC State, August 2016	Posterior Approximation for Linear Regression with i.i.d. Priors
2015	Ugrad	Menon, Vijay Vettath	Founder in Residence, Atomic, January 2020	NBA Playoff Prediction Model
2015	Ugrad	Tyler, Matthew D	Ph.D. Student, Political Science, Stanford University, 2015	Shared Kernel Nonparametric Bayes Bi-Clustering
2015	Ugrad	Hadley, Emily C	Research Data Scientist, RTI International, December 2020	Comparing Predictive Models of High School Dropout in North Carolina	Jerry Reiter
2015	Ugrad	Li, Qingwan Fiamma	Associate, TPG Sixth Street Partners, London, UK, January 2020
2015	Ugrad	Zhong, Ruilin Raylin	Data Scientist II, Audible, INC, September 2018	Forecasting Security Price Movement with Bayesian DLM
2015	Ugrad	Hu, Mao I	Senior Policy Associate, Acumen, LLC, February 2020	Graduation with Highest Distinction - An Importance Sampler for Bayesian Model Averaged Logistic Regression	Edwin Iversen
2015	Ugrad	Zhang, Zhihao Justin	Software Engineer, Facebook, January 2016
2015	Ugrad-Other	Latner, Joshua	Resident Physician, Internal Medicine, University of Florida Health	Interdepartmental Major - Biology and Statistical Science
2016	Ugrad	Lai, Michael	Software Engineer, Plaid, May 2016
2016	Ugrad	Choi, Dabin	Actuarial Associate, Samsung Life Insurance, January 2017
2016	Ugrad	Gao, Michael	Data Science Lead at Duke Institute for Health Innovation, January 2019, Associate Instructor at Duke Biomedical Engineering, June 2019
2016	Ugrad	Shi, Peter J	Senior HR Reporting Analyst, EY, January 2019
2016	Ugrad	Perez, Kaila	Business Operations, Strategic Planning & Initiatives, Pinterest, February 2021
2016	Ugrad	Hou, Michelle	Senior Product Manager, Magic, December 2022
2016	Ugrad	Klein, Jake	Senior Data Scientist, Walmart Global Tech, January 2021
2016	Ugrad	Marren, Kevin Thomas	Analyst, Khosla Ventures, September 2019
2016	Ugrad	Clancy, David	Product Modeling Analyst, Geico, Maryland, June 2019	Graduation with Distinction - Bayesian Regression of Sap Flux in Saplings on Environmental Conditions	Alan Gelfand
2016	Ugrad	Choi, Yoon Hyung	Software Development Engineer, Amazon
2016	Ugrad	Hemal, Kshipra	Medical Resident, NYU Hansjörg Wyss Department of Plastic Surgery July 2021
2016	Ugrad	Dorchuck, Daniel Alexander	Associate, Investment Underwriting, The Beneficient Company, LP, November 2019
2016	Ugrad	Bejany, Joseph Elias	Manager, Business Strategy & Analytics, Capital One, July 2016
2016	Ugrad	Sunder, Lavanya Parvathy	General Manager, Culdesac Temp, February 2019	Graduation with Highest Distinction - Predictive Model for Views In YouTube Beauty Community	Sayan Mukherjee
2016	Ugrad	Desai, Neel Mehul	Principal Biostatistician, Novartis, Devember 2023	Graduation with Distinction - The Animal Model for Censored Traits	Sayan Mukherjee
2016	Ugrad	Shikhaleev, Artur	Associate, Denham Capital, February 2018
2016	Ugrad	Price, Sara B	Senior Consultant, Deloitte & Touche LLC, July 2018, MS Candidate, NYU Center for Data Science, August 2020
2016	Ugrad	Hall, Victoria Tori	Manager, Data Analytics, Ontra, September 2023
2016	Ugrad	Wang, Zixu Prince	Digital Chip Design Engineer, Hisilicon, July 2019
2016	Ugrad	Ho, Brandon	Tax Associate, Kirkland & Ellis, LLP September 2022
2016	Ugrad	Willke, Bridget M	Senior Associate Consultant, Bain & Company in Boston, MA, August 2016	Graduation with Highest Distinction - Forgery Detection in Paintings Using North Carolina Bird Series	David Dunson
2016	Ugrad	Sanders, Austin Patrick	Indo-Pacific Field Consultant, Impl. Project, Okinawa, Japan, January 2021; Data Science Graduate Student, UC Berkeley School of Information, May 2021
2016	Ugrad	McKenzie, Katelyn	MD-PhD Physician Scientist Training Program, University of Kansas Medical Center	Graduation with Highest Distinction - Gene Set Analyses Under a Bayesian Partial Factor Regression Model	Sayan Mukherjee
2016	Ugrad	Shi, Allen	Private Equity Associate, H.I.G. Capital, August 2018
2016	Ugrad	Dunn, Ethan William	Program Director, Humanity Forward, February 2020
2016	Ugrad	Ni, Alice	Senior Data Analyst, Faire, January 2016
2016	Ugrad	Jiang, Anna	Senior Business Analyst, Capital One, January 2019
2016	Ugrad	Lin, Qiuyu Michael	Data Product Associate, YipitData, April 2018-April 2019
2016	Ugrad	Park, Daniel T.	JD Candidate, University of Michigan Law School, August 2018
2016	Ugrad	Lee, Byung Cheol	Ph.D. Student in Marketing (Consumer Behavior), Columbia Business School, August 2016
2016	Ugrad	Legein, Kevin	Actuarial Analyst, Milliman, May 2017
2016	Ugrad	Huang, Yun Chu	Business Intelligence & Analytics, Google, December 2019	Surgical Variability	Katherine Heller
2016	Ugrad	Zhang, Kehan Christopher
2016	Ugrad	Mao, Yulu Callie	Quantitative Research Associate, Two Sigma, February 2017	Graduation with Distinction - Modeling Renal Outcomes from Blood Pressure Variability During Non-Cardiac Surgeries	David Dunson
2016	Ugrad	Niu, Kelvin	Software Engineer, Machine Learning, Facebook, April 2020	Graduation with Highest Distinction - Recommending Challenging Levels in Learning Games	Colin Rundel
2016	Ugrad	Yang, Zhixiao Eddie	Software Engineer, Bloomberg, LP, July 2020

Year	Program	Name	Employment	Completion Exercise	Advisor Name
2017	Ugrad	Kang, Moung Jin Steve	Investment Banking Associate, Morgan Stanley, October 2019
2017	Ugrad	Zhang, Zhen	Investor
2017	Ugrad	Brasco, James Frederick	Customer Success Consultant, Qualtrics, November 2019
2017	Ugrad	Feng, Judy	Investment Associate at QIC Global Infrastructure, April 2022
2017	Ugrad	Whedon, William Billy	Analyst, FanDuel, August 2020
2017	Ugrad	Lott, Anne K	Operations Campus Analyst, BNY Mellon, August 2020
2017	Ugrad	Levenberg, Amanda Brooke	Associate, Quantitative and Derivative Strategies, Morgan Stanley, January 2020
2017	Ugrad	Yuan, Ellen	Software Engineer, Google, September 2019
2017	Ugrad	Ho, Jeffrey	Associate, Williams & Connolly, LLP, January 2024
2017	Ugrad	Liu, Xirui	Associate, CMC Capital Partners, May 2018
2017	Ugrad	Lu, Jiawei Wendy	MBA Program, London Business School, August 2020
2017	Ugrad	Zou, Liaowang Zoey	MSS Student, MEng, Electrical Engineering and Computer Science, University of California, Berkeley, August 2020	Graduation with Highest Distinction - Bayesian Forecasting and Decision Analysis in Macroeconomic Time Series Using Dynamic Dependence Networks	Mike West
2017	Ugrad	Levine, Ethan Isaac	Portfolio Management Analyst, Two Sigma, August 2018	Graduation with Distinction - Performance and Application of Matrix Decomposition and Inversion via Probabilistic Algorithms	Colin Rundel
2017	Ugrad	Wolery, Bryce	Product Modeling Analyst, Geico, Washington DC, July 2017
2017	Ugrad	Aluko, Kolapo	Data Analyst, FJA-US, November 2017
2017	Ugrad	Van Liedekerke, Matthew	Strategy and Business Operations, Instacart, May 2020
2017	Ugrad	Seif, Basil Fayez	Research Associate, Data Science, Science and Technology Policy Institute (STPI, January 2020
2017	Ugrad	Song, Alexander T	Legal Fellow, Institute for Policy Integrity, NYU School of Law, August 2020
2017	Ugrad	Janat, Aibolat Aibi	Investment Management Associate, Waterfall Asset Management LLC, July 2017
2017	Ugrad	Vernot, Corey	Research Assistant, MacMillan Center, Department of Economics, Yale, August 2017
2017	Ugrad	Zhang, Zhaozhi Zek	Legal Intern, Miami Dolphins and Hard Rock Stadium, January 2021
2017	Ugrad	Lin, Jiayin Lynn	Strategy, ByteDance, Beijing China, December 2020
2017	Ugrad	Lu, Xinyi Lucy	Ph.D. Program, Colorado State University, August 2017	Graduation with Highest Distinction - Local Real-Time Forecasting of Ozone Exposure using Temperature Data	Alan Gelfand
2017	Ugrad	Li, Yijun Crystal	Biostatistics MS Program, University of Michigan, Ann Arbor, 2017
2017	Ugrad	Yang, Yiran Isabella	Associate, The Carlyle Group, May 2019
2017	Ugrad	Jiang, Yizhou Aria	Software Engineer, PineSide Technology, February 2020
2017	Ugrad	Zhuo, Dayou	Actuarial Advisor, Affordability Governance & Execution, Cigna, January 2021
2017	Ugrad	Zhang, Jiaqin Jaslyn	Software Development Engineer, Amazon, September 2017	Graduation with Highest Distinction - Improved Genomic Selection using Vowpal Wabbit with Random Fourier Features	Sayan Mukherjee
2017	Ugrad	Zhang, Zeren Will	Investor, SoftBank Investment Advisors, March 2021
2017	Ugrad	Cho, Sehyun Andrew	Data Scientist, BMW, April 2021
2017	Ugrad	Shen, Yueqi Angie	Senior Scientist, Merck, June 2024	Graduation with Highest Distinction - Explore Geometric Anisotropy for Point-Referenced Spatial Data	Alan Gelfand
2017	Ugrad	Ho, In Hee	Associate, Boston Consulting Group, September 2020
2018	Ugrad	Yashar, Faraz Netanel	Research Fellow, Harvard Medical School, Boston, June 2019
2018	Ugrad	Kim, Tae Hwan Eric	Investment Analyst, DUMAC, March 2019
2018	Ugrad	Warren, Houston Shipley	Graduate Student, University of Sydney, October 2020
2018	Ugrad	Zhang, Wuming	Machine Learning Engineer, Planner/Behavior Prediction, Nuro, February 2020
2018	Ugrad	So, Stephen M	Data Scientist, Truist, December 2019
2018	Ugrad	Mu, Tianyi	Software Engineer, Google, August 2018
2018	Ugrad	Xu, Sonia	Business Operations Analyst, Instawork, January 2021	Graduation with Highest Distinction - Duke Basketball Passing Networks	Alex Volfovsky
2018	Ugrad	Cooper, Andrew H	Ph.D. Program, Statistics, Virginia Tech, Blacksburg, VA, August 2020	Graduation with Distinction - Modeling Count Relationships in Restricted Social Networks	Alex Volfovsky
2018	Ugrad	Rosso, Samuel	Consultant, Mastercard Data & Services, August 2019
2018	Ugrad	Driscoll, Anne	Research Data Analyst, Stanford University, August 2018	Graduation with Highest Distinction - Examining Injustice in Environmental Toxicity	David Banks, Mine Cetinkaya-Rundel
2018	Ugrad	Wood, Adam Daniel	Pro Golfer
2018	Ugrad	Hua, Ian Xingan	Senior Data Engineer, Optum, February 2023
2018	Ugrad	Oddiraju, Vinai Simha	Trader/Quantitative Analyst, RobustWealth, September 2020
2018	Ugrad	Tang, Annie Katelyn	Data Engineer, Spotify, May 2020
2018	Ugrad	Zhang, Sonya L	Consultant, Boston Consulting Group, Washington DC, September 2018
2018	Ugrad	Yang, William	Software Engineer, Google, Sunnyvale, CA, July 2018
2018	Ugrad	Zimmermann, Sarah Elizabeth	Data Analyst II, Microsoft, February 2020
2018	Ugrad	Siegel, Ryan	MBA Program, Columbia Business School, August 2021
2018	Ugrad	Peng, Sharon	Program Manager, AI/Research Group, Microsoft, August 2018
2018	Ugrad	Duan, Tianlin	Data Scientist, Acquisition Algorithms, Stitch Fix, March 2020	Graduation with Distinction - Aspect-based Opinion Mining with Yelp Restaurant Reviews	David Banks, Cynthia Rudin
2018	Ugrad	Jiang, Haozhang	Graduate Student, University of Washington, September 2018
2018	Ugrad	Hu, Shuhao	Senior Manager, Zhongzhi Enterprise Group Co., Ltd, January 2021-April 2021
2018	Ugrad	Brown, Nathaniel	Data Scientist, Oracle, August 2018	Graduation with Highest Distinction - Bayesian Analysis of Player Performance over Time	Mike West
2018	Ugrad	Yu, Huijia	Software Engineer, Google, July 2018	Graduation with Distinction - Bayesian Reproducibility	Merlise Clyde
2018	Ugrad	Goettel, Grant Steven	Senior Consultant, Guidehouse, DC, March 2020
2018	Ugrad	Chang, Chia-Rui Jerry	Ph.D. Candidate in Biostatistics at Harvard University, August 2019	Graduation with Distinction - Modeling Federal Employees Data to Predict Promotion	Jerry Reiter
2018	Ugrad	Rafiq, Altamash	Master's Program, Data Science, Duke University, August 2019
2018	Ugrad	Chen, Amy	Actuarial Analyst, Hartford, July 2019
2018	Ugrad	Sriram, Vivek	Data Scientist, Translational Analytics and Informatics, Fred Hutch, March 2024	Graduation with Highest Distinction - Statistical Analysis of the Human Gut Microbiome	Li Ma
2018	Ugrad	Wu, James C	CEO & Cofounder @ AdaptiLab, June 2018	Graduation with Distinction - Matrix Based Anomaly Detection Techniques Applied to Network Attacks	Peter Hoff
2018	Ugrad	Cho, Young Hoo Andy	Master's Student, Columbia University New York, 2020
2018	Ugrad	Wang, Weiyao	Ph.D. Program, Johns Hopkins Whiting School of Engineering, August 2020

Year	Program	Name	Employment	Completion Exercise	Advisor Name
2019	Ugrad	Marszalek, Oskar	Data Analyst, DocPlanner, Warsaw, Poland, June 2020
2019	Ugrad	Yoo, Jaehyun
2019	Ugrad	Jacob, Eidan	Software Developer at Softheon, Inc., August 2019
2019	Ugrad	Sibley, Sarah	Data Scientist, Instagram Elections Integrity Team, Facebook, June 2019
2019	Ugrad	Taylor, Moriah A	Senior Data Analyst at CUCollaborate, LLC, February 2024
2019	Ugrad	Deng, Ziqi Zadie	Product Innovation Analyst, Healthcare and Consumer Industry, Deloitte, July 2019
2019	Ugrad	Lin, Vincent	Business Data Analyst II, All Native Group, The Federal Services Division of Ho-Chunk Inc. October 2019
2019	Ugrad	Shulman, Jacob Alex	Software Engineer, Microsoft, September 2019
2019	Ugrad	Levine, Daniel Aaron	Analytics Fellow, Data Science Division, McKinsey Analytics, August 2019	Graduation with Highest Distinction - Beating Vegas: Creating a Dynamic Sports Betting Model	Jerry Reiter
2019	Ugrad	Zhuang, Bihan Jenny	Software Engineering, Apple, July 2019	Graduation with Highest Distinction - Entity Resolution with an Application to the El Salvadoran Conflict	Rebecca Steorts
2019	Ugrad	Feder, Benjamin	Assistant Research Scientist at Coleridge Initiative, July 2019	Graduation with Highest Distinction - Evaluating Student Creativity and Depth of Data Analysis Projects Based on R Syntax and Packages	Mine Cetinkaya-Rundel
2019	Ugrad	Sunil, Srinivas Emandi	Quantitative Analyst, Blackrock, NYC, July 2019	Graduation with Highest Distinction - Bayesian Forecasting and Decision Theory	Mike West
2019	Ugrad	Stiles, Timothy Peter	Electronic Foreign Exchange Trading Analyst, July 2019
2019	Ugrad	Wang, Chenyang James	Data Scientist, Coinbase, San Francisco, April 2020
2019	Ugrad	Ratliff, Elizabeth Ione	Migration Lead, Humanitru, June 2020
2019	Ugrad	Huang, Howard Jefferson	Senior Market Research Analyst, SKIM, May 2022
2019	Ugrad	Wang, Yuanling Annie	gap year then applying to MFA programs for Theatre studies
2019	Ugrad	Khaykin, Alan	Healthcare Investment Banking Analyst, J.P. Morgan, December 2020
2019	Ugrad	Malone, Alexis Devine	Associate Data Scientist, Church & Dwight Co., Inc., May 2022
2019	Ugrad	Büyük, Ekim	Senior Product Manager,Chainalysis, March 2024	Graduation with Highest Distinction - Landlords and Evictions: Changes in the Ownership of Multi-Family Rental Properties and Its Impact on Housing Stability in Durham, NC	Colin Rundel
2019	Ugrad	Song, Yu Xuan Hillary	Associate Consultant, Bain, Atlanta, July 2019
2019	Ugrad	Yang, Steven G	Director, Product Management, Tanium, September 2022
2019	Ugrad	Sampson, Mark Charles	Data Technician, The Duke Human Vaccine Institute, May 2019
2019	Ugrad	Sivakumar, Anupriya	Cyber Security Consultant, Fidelity Investments, December 2020
2019	Ugrad	Jiang, Chen Brian	Investment Banking Analyst, Greenhill, June 2019
2019	Ugrad	Tsang, Catherine J	JD Program, The George Washington University Law School, 2020
2019	Ugrad	Dineshkumar, Shakira	Monetization Analyst, Partnerships, AppLovin, San Francisco, CA, January 2020
2019	Ugrad	Vaidya, Neal	Associate Systems Engineer, SAS, July 2019
2019	Ugrad	Zimmer, Erik Conrad	Data Scientist, Content Analytics, Walt Disney Co., August 2021
2019	Ugrad	Cristali, Irina	Research Assistant, University of Chicago, February 2021
2019	Ugrad	Rappleye, Robert Benjamin	Assistant Quantitative Trader, Jane Street Trading, NYC, August 2019	Graduation with Highest Distinction- Modeling Win Probability in NFL Games	Sayan Mukherjee
2019	Ugrad	Chen, Zilai Carolyn	Fixed Income Analyst, Credit Suisse, July 2019
2019	Ugrad	Hase, Peter Byron	Ph.D. Program, University of North Carolina, Chapel Hill, August 2019	Graduation with Highest Distinction-Interpretable Image Recognition with Hierarchical Prototypes	Cynthia Rudin
2019	Ugrad	Jiang, Yiqin Debra	Investment Banking Analyst, Morgan Stanley, August 2019
2019	Ugrad	Lyu, Cheng	Software Engineer, Ambarele, Bay Area, May 2019
2019	Ugrad	Huang, Zijing Sherry	Corporate Banking Analyst, Citi, June 2019
2019	Ugrad	Wang, Harry	Master's Program, Engineering, Duke University, August 2020
2020	Ugrad	Zhang, Julian	Masters Student, MPH, Health Policy and Management, Emory University
2020	Ugrad	Ma, Calvin	Summer Technology Analyst, Goldman Sachs
2020	Ugrad	Kim, Chiwan	Structurer, J.P. Morgan, August 2020	Graduation with Highest Distinction - A Black-Scholes-Integrated Gaussian Process Model for American Option Pricing	Simon Mak
2020	Ugrad	Tan, Jasmine Oon Mei	Software Engineer, Google, September 2020
2020	Ugrad	Liu, Zijie Mike	Software Engineer, Google, July 2019
2020	Ugrad	Zuo, Lin	Business Analyst, McKinsey & Company, March 2020
2020	Ugrad	Tang, Zuzu	Software Engineer, Microsoft, August 2020
2020	Ugrad	Bird, Morgan Avery	Analytics, FanDuel, January 2022
2020	Ugrad	Cai, Michael	Associate, Dean and Company August 2023
2020	Ugrad	Epstein, Jacob Alec	Analyst, Blackstone, 2020
2020	Ugrad	Sengottuvelu, Rahul G	Co-Founder, Cohere, May 2020
2020	Ugrad	Schafer, Peyton Anne
2020	Ugrad	Chandler, Sara Tess	Data and Analytics Lead, Impact Travel Alliance, February 2020
2020	Ugrad	Spottiswood, Daniel Jay	Intern, Facebook, May 2019	Graduation with High Distinction - Algorithmic Trading of an Alternative Cryptocurrency Using Sentiment and Volume Based Predictors	Sayan Mukherjee
2020	Ugrad	Suh, Christopher	Research Assistant, Computer Science, Duke University, September 2018
2020	Ugrad	Model, Michael	Intern, Baseball Research and Development, Tampa Bay, February 2021	Graduation with High Distinction - Hitting around the shift: Evaluating Batted-Ball Trends across Major League Baseball	David Dunson
2020	Ugrad	Jin, Lingrong Karen	Research Assistant, Bernhardt Biogeochemistry Lab, June 2019
2020	Ugrad	Tesha, Revogatus Apolinary	Data Scientist, Thomson Reuters, July 2020
2020	Ugrad	San Martin, Jose	Software Development Engineer, Amazon, June 2020
2020	Ugrad	Eckmann, August Jordan (AJ)	Owner, Director of Operations, Run 4 Seventy-Five, July 2015
2020	Ugrad	Zhang, Qiufeng Joseph	Investment Analyst, DUMAC, July 2020		Surya Tokdar
2020	Ugrad	Graves, Rose Kimberly	Analyst, Houston Astros, June 2020	Graduation with Highest Distinction - Corrupted Data and the Illicit Arms Trade	Alex Volfovsky
2020	Ugrad	Alexander, Ben	Researcher, Computer Science, Stanford University, August 2020
2020	Ugrad	Jia, Li Austin	Strategy Analyst, Accenture, September 2020
2020	Ugrad	Belac, Ana	Area Sales Manager at TKK d.o.o., January 2020
2020	Ugrad	Wang, Yifan	Master's Program, Business Analytics, MIT, Fall 2021
2020	Ugrad	Patel, Sahil Sanjay	SPA Student Assistant, University of NC, Chapel Hill, January 2019
2020	Ugrad	Gupta, Shrey	Software Engineer, Applied Intuition, June 2020
2020	Ugrad	Xiao, Claire Bei	Analyst, Bloomberg, LP June 2020
2020	Ugrad	Hu, Diane	Software Engineer, Watershed, December 2022
2020	Ugrad	Needleman, Jessica	Data Scientist, Farmer's Fridge, May 2023
2020	Ugrad	Hossain, Shamikh Shafkat	Data Scientist, Industrials/Tech, Point72
2020	Ugrad	Tan, Michael	Investment Banking Analyst, Goldman Sachs, July 2020	Graduation with High Distinction - Investigating Underpricing in Venture-Backed IPOs	Shawn Santo
2020	Ugrad	Holland, Ethan	Software Engineer, The Trade Desk, July 2023
2020	Ugrad	Hsiao, Man-Lin	Quantitative Researcher, Balyasny Asset Management, LLP, March 2022
2020	Ugrad	Hu, Shijia	Machine Learning Engineer, Preventa Medical Corporation, Internship December 2020
2020	Ugrad	Gong, Yutao	Associate, The Boston Consulting Group (BCG), September 2020
2020	Ugrad	Jiang, Yufeng Melody	Ph.D. Program, University of Washington, August 2020	Graduation with High Distinction - Estimating Cell Probabilities for High-Dimensional and Sparse Multinomial Data Using Proper Scoring Rules	David Dunson
2020	Ugrad	Eledath, Bassim Faizal	Data Scientist, NoviSci, June 2020
2020	Ugrad	Metz, Audreya	Incoming Business Data Analyst, DraftKings, Inc., February 2021
2020	Ugrad	Liu, Tianqi Sophia	Analyst, Accenture, October 2020
2020	Ugrad	Gelman, Charles	Football Analyst, Baltimore Ravens, June 2022
2020	Ugrad	Chen, Zhuolin Naya	Software Engineer, Confluent, February 2020
2020	Ugrad-Other	Cai, Jie	OpenSea, 2022-2023	Interdepartmental Major - Computer Science and Statistical Science
2020	Ugrad-Other	Turpin, Miles Andrew	Machine Learning Researcher, Cohere, June 2020	Interdepartmental Major - Computer Science and Statistical Science
2020	Ugrad-Other	Bricken, Trenton	Ph.D. Program, Systems, Synthetic and Quantitative Biology (SSQB), Harvard, September 2020	Graduation with Distinction - Learning Fitness Landscapes for Protein Design	David Banks

Year	Program	Name	Employment	Completion Exercise	Advisor Name
2021	Ugrad	Jernigan, John	IRB Specialist, Duke University School of Medicine, July 2021
2021	Ugrad	Li, Michael Wuji	Investor, TA Associates, July 2023
2021	Ugrad	Seranaj, Sibora	Assistant Vice President, Data Analytics, Tradeweb, February 2023
2021	Ugrad	Erenbaum, Rebecca	Senior Football Research Analyst, Seattle Seahawks, July 2022
2021	Ugrad	Katz, Adam	Associate Vice President, Structured Credit Trading, March 2024
2021	Ugrad	Ravindran, Malavi	Machine Learning Scientist, Coursera, June 2021	Graduate with Highest Distinction: Quadratic Proportional Hazards Model with High-Dimensional Correlated Predictors
2021	Ugrad	Jiang, Yuetian Alice	Investment Banking Associate, HSBC, March 2024
2021	Ugrad	Pahren, Martha Matty	Senior Business Analyst, 2nd Order Solutions, July 2022
2021	Ugrad	Bendeck, Alexander	PhD student, Computer Science, Georgia Tech, August 2021
2021	Ugrad	Fang, Zhou Daisy
2021	Ugrad	Zou, Justina	Sr Ai/ML Engineer, Optum, July 2021
2021	Ugrad	Wu, Shitong
2021	Ugrad	Liao, Juncheng Alice
2021	Ugrad	Murray, Ashley	Software Engineer III (Data), Freewheel, February 2022
2021	Ugrad	Gregory, Hunter	Software Engineer II, Microsoft, August 2023
2021	Ugrad	Boonchant, Jaravee	Pro Golfer
2021	Ugrad	O'Leary, Grace	Manager, Capital One, July 2023
2021	Ugrad	Yang, Peining	Senior Scientist, Advanced Analytics, Alcon, July 2023
2021	Ugrad	Zheng, Tianhan Michael	Data Scientist, Safran Aero Composite, March 2022
2021	Ugrad	Wu, Connie
2021	Ugrad	Thapa, Mishek		Graduate with High Distinction: Functional Effects of Inherited Blindness and Novel Gene Therapies for Treatment	Jason Xu
2021	Ugrad	Tenorio, Steven Herrera		Graduate with Distinction Outside the Major: The Nuevo South: A Latent Class Analysis on Neighborhood Integration Among Latin American Immigrants in the US South, 2012-2018	Scott Lynch
2021	Ugrad	Hoang, Lavonne	Foreign Exchange Sales Associate, HSBC, July 2022	Graduate with High Distinction: ARM-HD: Adaptive Risk-aware Multi-armed Bandit Framework	Simon Mak
2021	Ugrad	Darwish, Anna	Software Engineer II, Microsoft, August 2023	Social Distancing Adherence in North Carolina	Amy Herring
2021	Ugrad	Martinez, Bernardo	Principal, Ally, July 2024
2021	Ugrad	Lee, Pin-Chian	PhD Student, Duke Statistical Science	Graduate with Highest Distinction: Block Truncated compound Confluent Hypergeometric (tCCH) Priors for Bayesian Model Selection	Merlise Clyde
2021	Ugrad	Dadhania, Dhruv	Software Engineer, Meta, July 2021	SUMS: A Sudoku Based Sampling Method for Low Rank Matrix Completion	Simon Mak
2021	Ugrad	O'Hara, Nathan	Machine Learning Software Engineer, Lyft, November 2022	Graduate with the Highest Distinction: High-Dimensional Bayesian Optimization via Shared Gaussian Process Latent Variable Models	Simon Mak
2021	Ugrad	Wang, Yiran Cindy	Associate, McKinsey & Company, July 2024
2021	Ugrad	Hu, Frank	Data Scientist, Calm, April 2023
2021	Ugrad	Srivastava, Tamanna
2021	Ugrad	Park, Hee Eun Hannah	Global Markets Analyst, Bank of America, Merrill Lynch, August 2021
2021	Ugrad	Hu, Sherry	Software Engineer, Meta, September 2021	Graduate with High Distinction: Certifiable Adversarial Learning for Cyberphysical Security	Simon Mak
2021	Ugrad	Wang, Xin	Product Manager, CF Benchmarks, March 2024
2021	Ugrad	Shen, Ethan	Data Scientist, Empower, August 2022	Graduate with Highest Distinction: Analyzing Pace-of-Play in Soccer Using Spatio-Temporal Event Data	Shawn Santo
2021	Ugrad	Ding, Ziyang Bob		Higher Power for Correlation Screening	David Dunson
2021	Ugrad	Shah, Anshul
2021	Ugrad	Pu, Xi	Software Engineer, Duolingo, September 2023
2021	Ugrad	Yun, Xueqing Evelyn	China Country Team, Market Access and Strategy, Clinton Health Access Initiative, Inc. December 2023
2021	Ugrad	Rosen, Daniel	Research Analyst, Energy and Environment Lab, University of Chicago, July 2023	Graduate with Highest Distinction: The Distributive Effects of Carbon Taxes: Evaluating British Columbia's 2008 Program
2021	Ugrad	Arellano, Salvador Chavero	Data and Tech Analyst II, Comcast, June 2023
2021	Ugrad	Chen, Christina	Software Engineer II, Atlassian, April 2023
2021	Ugrad	Chen, Richard
2021	Ugrad	Fan, Shuyu Lynn	Sales and Trading Associate, Morgan Stanley, June 2022
2021	Ugrad	Zhou, Daniel	Software Engineer, Meta, August 2021
2021	Ugrad	Zhu, Yunyao		Graduate with Highest Distinction: Algorithmic Harmonization for Four-Part Baroque Chorales	Simon Mak
2021	Ugrad	Xu, Siyi Fiona	Software Engineer, Google, August 2022
2021	Ugrad	Mohammadi, Pouya	Head of Engineering, Oway, March 2024
2021	Ugrad-Other	Wang, Jianyou Andre		Graduate with Distinction in Data Science, There Once Was a Really Bad Poet, It was Automated but you Didn't Know	Cynthia Rudin
2022	Ugrad	Lemus, Sara	Data Scientist, Meta, August 2022
2022	Ugrad	Reed, Margaret
2022	Ugrad	Addison, Bechtler	Cyber Capabilities Development Officer, (17D), July 2022
2022	Ugrad	Han, Erie Seong Ho	Software Engineer, Meta, July 2022
2022	Ugrad	Tay, Eric Wei Shin	Quantitative research for hedge fund
2022	Ugrad	Hyun, Kiwan	Quantitative Risk Management, Intern, OCC, June 2023	Graduation with High Distinction - Bayesian and Non-Parametric Risk Metric	Simon Mak
2022	Ugrad	Henriquez, Maria	Assistant to EVP and SVP, Temple Hill Entertainment, April 2024
2022	Ugrad	Dutta, Mihir	Data Science Engineer, fluExclusive, November 2021- April 2024
2022	Ugrad	Thomas, Judin	Associate, One Rock Capital Partners, LLC, July 2024
2022	Ugrad	Kornfein, Caleb	Software Engineer, Google, August 2022
2022	Ugrad	Murray, Matthew	Model Risk AVP, February 2023
2022	Ugrad	Choudhury, Maya	Forward Deployed Engineer, Palantir Technologies, September 2022
2022	Ugrad	Choo, Joseph	Deloitte Consulting - Strategy
2022	Ugrad	Khazzam, Zachary
2022	Ugrad	Roza, Ellie	Global Data Analyst, Bloomberg LP, September 2022
2022	Ugrad	Gerber, Jason
2022	Ugrad	List, Abbey		Graduation with Highest Distinction - Classification and Engagement Analysis of Misinformation on Social Media	Yue Jiang
2022	Ugrad	Xiao, Katherine	Associate, Bain & Company, September 2021
2022	Ugrad	Lichtenstein, Jack	Data Scientist, Big League Advantage, May 2021
2022	Ugrad	Schaefer, Thomas	Investment Analyst, Oak Hill Advisors, L.P., August 2022
2022	Ugrad	Bogomilsky, Hannah	Data Analyst, Capital One, August 2022
2022	Ugrad	Madala, Siddarth	PhD Student, Computer Science, University of Illinois Urbana-Champaign, August 2022
2022	Ugrad	Burpeau, Sara	Recruiting AssociateRecruiting Associate, Amity Search Partners, August 2022
2022	Ugrad	Dalldorf, Sophia	J.D. Candidate. Columbia Law School, Auf 2024
2022	Ugrad	Wang, Angela	Meta, Software Engineer
2022	Ugrad	Wang, Hannah
2022	Ugrad	Houser, Shannon	Senior Analyst, Summit Consulting, LLC, January 2024
2022	Ugrad	Zhang, Qintian	Product Manager, Microsoft, February 2023
2022	Ugrad	Day, Kevin	Software Engineer, Meta, January 2022
2022	Ugrad	Weng, Cindy		Graduation with High Distinction - Tranexamic Acid and Survival Time in Trauma Patient	Yue Jiang
2022	Ugrad	Zhao, Justin	Quantitative Trader, IMC Trading, August 2022
2022	Ugrad	Hastings, Ryan	Research Analyst, Wharton Real Estate Department, University of Pennsylvania, July 2022
2022	Ugrad	Henry, Owen	Associate Data Scientist, IBM, July 2022
2022	Ugrad	Feder, Eli
2022	Ugrad	Goyal, Ritik	Investment Associate, Bridgewater Associates, June 2022 -June 2023
2022	Ugrad	Brown, Meredith	Fellow, U.S. Digital Corps, June 2022	Graduation with High Distinction - Evaluating Geospatial and Temporal Trends in Payments to Primary Care Physicians in the United States	Amy Herring
2022	Ugrad	Ralph, Matthew	Portfolio Management & Capital Markets Analyst, Investments & Capital Markets Division, Freddie Mac, July 2022
2022	Ugrad	Mathur, Shirley		Graduation with Highest Distinction - Synthetic Data Generation for complex Surveys	Jerry Reiter
2022	Ugrad	Satish, Sanjay	Private Equity Associate, GTCR LLC, August 2024
2022	Ugrad	Smith, Calleigh	Equities Technology Analyst, Millennium, July 2022
2022	Ugrad	VanDewark, Carly	Retirement Actuarial Student Analyst
2022	Ugrad	Daniel, Hebron	Associate, Boston Consulting Group, August 2022
2022	Ugrad	Liu, Jingxuan
2022	Ugrad	Wang, Carrie
2022	Ugrad	Tang, Linda		Graduation with Highest Distinction - Psychiatric Comorbidities Associated with Reduced Opioid Dependence Treatment Completion	Yue Jiang
2022	Ugrad	Aboagye, Martha	Software Engineer, Amperity, August 2022
2022	Ugrad	Woo, Caleb	Duke MSS
2022	Ugrad	Izon, Mariana
2022	Ugrad	Esterson, Hugh	Management Consultant, NYC
2022	Ugrad	Chang, Katelyn	Software Engineer, YouTube
2022	Ugrad	Ou, Jessie Yanchen	Data Scientist, Meta, July 2022	Graduation with Highest Distinction - Bayesian Hierarchical Modeling of US County Level COVID-19 Vaccine Rollout	Yue Jiang
2022	Ugrad	Feder, Matthew	Senior Business Analyst, McKinsey & Company, July 2024
2022	Ugrad	Clark, Lillian	Associate Producer, Vox Media, November 2022
2022	Ugrad	Xie, Chengxi Darren
2022	Ugrad	Garimella, Vandita
2022	Ugrad	Blosse, Andrew
2022	Ugrad	Parkash, Priya	Software Development Engineer, Duke University	Graduation with Highest Distinction - European Union Allowance (EUA) Pricing and Twitter Sentiment	Surya Tokdar
2022	Ugrad	Subramanian, Nitinshankar	Investor, Left Lane Capital, 2023
2022	Ugrad	Chen, Siyuan Larry
2022	Ugrad	Harmadi, Phillip	Analyst, Bank of America Merrill Lynch, June 2022

Year	Program	Name	Employment	Completion Exercise	Advisor Name
2023	Ugrad	McCurry, Aidan
2023	Ugrad	Zhang, Zhi-Qian Jason	Investment Banking Analyst, Megers & Acquisitions, J.P. Morgan, June 2023
2023	Ugrad	Kang, Min Woo
2023	Ugrad	Wang, Jiaye Joe	Customer Experience Analyst, SpectraCell Laboratories, Inc., June 2023
2023	Ugrad	Naylon, Chandler
2023	Ugrad	Jun, Young Hoo
2023	Ugrad	Olarte Pallares, Martin	Research Assistant, Duke University, October 2022
2023	Ugrad	Lim, Justin Ren Hsien	Business Analyst, McKinsey Company, July 2023
2023	Ugrad	Lu, Leona Yuchen	Market Analysis, Barclays Corporate & Investment Bank, August 2022	Statistical Analysis on The Devonian Hunsrück Slate: Investigation of Water Current Orientation	Yue Jiang
2023	Ugrad	Patel, Ayaan	Investor, Lead Edge Capital, 2022
2023	Ugrad	Hampsch, Piper	Duke University, The Fuqua School or Business, Master of Management Studies, Foundations of Business, July 2023
2023	Ugrad	Chaver, Rivca
2023	Ugrad	Dragich, Evan M	Actuarial Assistant, New York Life Ins. Co, July 2023	Exploring Data Science Education: From Tutorials to Assessment	Mine Cetinkaya-Rundel
2023	Ugrad	Runia, Emma	Healthcare Analyst, Cognizant, August 2023
2023	Ugrad	Tian, Shari	Bioinformatician I, Dave Lab, Duke University School of Medicine, July 2021	The Atlas of Blood Cancer Genomes (ABCG) Data Visualization and Analysis Module	Edwin Iversen
2023	Ugrad	Neal, Kathryn	Energy Business Analyst, Amazon Web Services, (AWS), August 2023
2023	Ugrad	Liu, Zehan
2023	Ugrad	Shao, Sara	Research Data Analyst, Oregon Health & Science University, July 2023
2023	Ugrad	Swigart, Isabella Park	Associate, Boston Consulting Group, (BCG), October 2023
2023	Ugrad	Yuan, Zhixin Steven	Investment Banking Analyst, Perella Weinberg Partners, July 2023
2023	Ugrad	Li, Pei	Analyst, Cornerstone Research, July 2023
2023	Ugrad	Allen, Garrett	Team Member, Quartz State Legislator Research Team, July 2021
2023	Ugrad	Zhuo, Pei		Shifting Habitus with Bridging Ties: Causal Estimates of the Effect of the Rate of High-SES Friendship on Extracurricular Participation	Fan Li
2023	Ugrad	Trejo, Daniela	Senior Data Analyst, Oscar Health, July 2023
2023	Ugrad	Gutierrez, Emely	Data Analyst, The William Warren Group, August 2023
2023	Ugrad	Xia, Tina	Associate, Boston Consulting Group, (BCG), September 2023
2023	Ugrad	Jackson, Alexander
2023	Ugrad	Miller, John G	Football Data & Innovation Intern, July 2024
2023	Ugrad	Wilds, Robert L	Private Equity Analyst, One Rock Capital Partners, LLC, July 2023
2023	Ugrad	Bhasin, Sarabjot	Data Engineer, Snowflake, August 2023
2023	Ugrad	Huang, Jenny Yijian	PhD Candidate, Massachusetts Institute of Technology, May 2023	Detecting Changes in the Transmission Rate of a Stochastic Epidemic Model	Jason Xu
2023	Ugrad	Byrd, Conner	Data Analyst, Riverstone Logistics, July 2023
2023	Ugrad	Mu, Han Medy	Neurobiology, Duke University
2023	Ugrad	Shi, Yihan	Software Engineer, Mastercard Data & Services, August 2023	Investigate the impact of Confounding Medical Interventions (CMI) in electronic health records (EHR) data	Yue Jiang
2023	Ugrad	Levine, Jason
2023	Ugrad	Zolotor, Anna	Statistician, Costello Medical, September 2023
2023	Ugrad	Rubin, Naomi	Deployment Strategist, Palantir Technologies, August 2023	Evaluating Student Perceptions of Assessment in Quantitative Studies	Mine Cetinkaya-Rundel
2023	Ugrad	Bierschenk, Jessica	Analyst, Eastdil Secured, August 2023
2023	Ugrad	Hodges, Jeremiah	Data Scientist Intern, Sinilux, June 2022 - August 2022
2023	Ugrad	Ordet, Kevin
2023	Ugrad	Adepu, Mounika S	Strategy Analyst, Accenture, August 2024
2023	Ugrad	Fan, Yu-Te Isaac	Business Analyst, McKinsey & Company, September 2023
2023	Ugrad	Lawrence, Alexandra
2023	Ugrad	Flanagan, Drew	Investment Banking Analyst, Lazard, July 2023
2023	Ugrad	Garcia, Carson V
2023	Ugrad	Hallur, Shreyas Shrikant	Undergraduate Research Fellow, Arizona Health Care Cost Containment Systems, AHCCCS, May 2020	Using Bayesian Additive Regression Trees to evaluate the impact of public policies on healthcare expenditures	Alexander Volfovsky
2023	Ugrad	Cameron, Christopher T	Back End Developer, IBM, August 2023
2023	Ugrad	Sirdeshmukh, Gaurav	Data Analyst, Flatiron Health, March 2024	Development and Evaluation of a Gradient-Boosted Approach to Predict 30-day Post-operative Readmission Risk	David Dunson
2023	Ugrad	Tang, Caroline T	Project Manager, Duke University Faculty Learning Community, August 2021	Analyzing the Evolution of Topics in Political Social Media Discourse	Alexander Volfovsky
2023	Ugrad	Bi, Alan Kaisheng	Software Engineer, Optiver, Aug 2023
2023	Ugrad	Deng, Eden Z	Data Science Analyst I, Icahn School of Medicine, Mount Sinai, July 2023	Utilization and survival outcomes of lobar, segmental, and wedge resection in early-stage NSCLC with tumors ≤ 2 cm—15 years of progress	Yue Jiang
2023	Ugrad	Rudrapatna, Nagaprasad	Systems Engineer I, Honeywell, January 2024
2023	Ugrad	Harmon, Brooke E	Data Engineer, Capital Group, August 2023	Addressing Bias on Duke A&S Course Evaluations	Yue Jiang
2023	Ugrad	Gildea, Aidan J	Business Development Intern, Major Food Group, June 2024	Promoting Accessibility in Duke Data Visualization: Creating a Color-Blind Friendly Duke Color Package	Mine Cetinkaya-Rundel
2023	Ugrad	Kalahasthy, Shravan	Data Scientist II, HiLabs, March 2024
2023	Ugrad	Su, Mona	Data Scientist, AT&T, July 2023
2023	Ugrad	Yoon, Angela	Undergraduate Researcher, Duke Global Neurosurgery and Neurobiology, July 2021	Reinforcement learning for branching processes with application to respondent-driven sampling
2023	Ugrad	Sirdeshmukh, Gautum	SDE-AWS CodeWhisperer, Amazon Web Services, (AWS), July 2023
2023	Ugrad	Shi, Alyssa	Medical Scribe, EyeHealth Northwest, October 2023
2023	Ugrad	Zhu, Lily	Product Manager, Expedia Group, August 2023
2023	Ugrad	Zhu, Lily	Product Manager, Expedia Group, August 2023
2023	Ugrad	Cui, Mu Yang Matthew	Financial Services Quantitative Analyst, Oliver Wyman, Septemer 2023
2023	Ugrad	Xu, Hao Belle	Software Engineer, Schonfeld, July 2023
2023	Ugrad	Luo, Zeping Danny	Software Engineer, Uber, June 2023
2023	Ugrad	Ho, Michael	Financial Analyst, Allstate, July 2023
2023	Ugrad	Yang, Chris W
2023	Ugrad	Chen, Edward	Senior Product Manager, Audible 2022
2023	Ugrad	Shi, Chen Flora		ESPs: a new cost efficient sampler for expensive posterior distributions	Simon Mak
2023	Ugrad	Smith, Amos Jeffrey
2023	Ugrad	Smith, Amos	Associate Software Engineer at Lockheed Martin
2023	Ugrad	Chen, Meiru Melanie	Mergers & Acquisitions Investment Banking Analyst, Bank of America, Merrill Lynch, August 2022
2023	Ugrad	Chen, Huaxuan
2023	Ugrad	Zhang, Jing Jane	Software Engineer, Databricks, August 2023
2023	Ugrad	Shen, Alexander	Data Scientist, IBM, June 2023
2023	Ugrad	Li, Xinge
2023	Ugrad	Mitchell, Julia L	Quantitative Analyst, Citi, August 2022
2023	Ugrad	Li, Boxuan	PhD Student, Industrial Engineering and Operations, Columbia, August 2023
2023	Ugrad	Sbahi, Rami	Software Engineer, Google, December 2023
2023	Ugrad	Liaw, Marcus Chi-Hau
2023	Ugrad	Potter, Amber R	Player Valuation Analyst, Pittsburgh Pirates, January 2024
2023	Ugrad	Wang, Florence
2023	Ugrad	Celebi, Kaya	Analyst, Morgan Stanley, October 2022
2023	Ugrad	Liang, Jiayi Maggie
2023	Ugrad	Zhao, Qihan
2023	Ugrad	Long, Hannah Y	Forward Deployed Software Engineer, Palantir Technologies, September 2023
2023	Ugrad	Wilchusky, Connor
2023	Ugrad	Xin, Mutian J
2023	Ugrad	Fan, Zimeng
2023	Ugrad	Shi, Wenzhuo
2023	Ugrad	Zhang, Kaijia Kate	MBA, Yale School of Management, August 2023
2023	Ugrad	Cui, Yifan Holly	Master's Student, Duke Statistical Science, August 2023
2024	Ugrad	Kim, Wu Jeh Evan	Analyst, Goldman Sachs, 2024
2024	Ugrad	Culpepper, Kelly Grace
2024	Ugrad	Wen, Aimi
2024	Ugrad	McFalls, Elyse Marie
2024	Ugrad	Nash, Kathryn Katie	Data Scientist, Booz Allen Hamilton, 2024
2024	Ugrad	Li, Sean
2024	Ugrad	Arboleda, Federico	Master's Student, Duke Statistical Science August 2024	Concentration in Data Science
2024	Ugrad	Song, Colin Linhao
2024	Ugrad	Satcowitz, Kendall Elyssa
2024	Ugrad	Wang, Harry Shang
2024	Ugrad	Ning, Ruoci
2024	Ugrad	Lin, Yijie
2024	Ugrad	Shan, Yunhong
2024	Ugrad	Willard, Frank C
2024	Ugrad	Hawkins, Matthew Alvin
2024	Ugrad	Chamarti, Kartik S
2024	Ugrad	Mojekwu, Mitchelle K
2024	Ugrad	Ding, Phillip Christopher	Risk and Financial Advisory Intern, Deloitte, June 2023 - August 2023
2024	Ugrad	Bao-Dai, Joy H	Associate Consultant, Bain & Company, 2024
2024	Ugrad	Janger, Brian A
2024	Ugrad	Sanjay, Sonali
2024	Ugrad	Pollard, Noemi Marie
2024	Ugrad	Liang, Christina Wang
2024	Ugrad	Huang, Angela W
2024	Ugrad	Gao, James Han
2024	Ugrad	Zhao, Emily Z
2024	Ugrad	Murray, John Michael
2024	Ugrad	Shi, Allison
2024	Ugrad	Moraes Mescall, Mescall, Enzo
2024	Ugrad	Mitchell, Ryan T
2024	Ugrad	Svec, Zoe Milena
2024	Ugrad	Yoh, Akira C
2024	Ugrad	Lin, Yuanyuan
2024	Ugrad	Ju, Botao
2024	Ugrad	Maitra, Ishaan
2024	Ugrad	Stroh, Jonathan Michael
2024	Ugrad	Du, Jeffrey Y
2024	Ugrad	Pruchniewski, Morgan G
2024	Ugrad	Gao, Naomie
2024	Ugrad	Rubin, Benjamin Drake
2024	Ugrad	Wang, Lihong
2024	Ugrad	Taney, Jordan Andrew
2024	Ugrad	Kaye, Megan R
2024	Ugrad	Tilak, Sahil S
2024	Ugrad	Tsai, Christopher Juinshan
2024	Ugrad	Vaez-Ghaemi, Ghaemi, Shariar
2024	Ugrad	Hu, Tingnan
2024	Ugrad	Islam, Hamza Saqib	Investment Banking Analyst, Goldman Sachs, Aug 2023
2024	Ugrad-Other	Yap, Sydney Meilin
2024	Ugrad-Other	Bulczynski, Lucas Michael	Analyst, BC Partners, July 2024
2024	Ugrad-Other	Dhupati, Nidhi S
2024	Ugrad-Other	Thorpe, Benjamin	MS Student, Statistics and Data Science, Yale University, August 2024
2024	Ugrad-Other	King, Miles F
2024	Ugrad-Other	Warrier, Aaditya

Our Postdoctoral Alumni

Year	Program	Name	Employment
1994	Postdoc	Erkanli, Alaattin	Associate Professor, Department of (B&B)Biostatistics and Bioinformatics, Duke University School of Medicine, June 1993
1997	Postdoc	Damien, Paul	B.M. (Mack) Rankin, Jr., Professor of Business Administration, University of Texas, Austin
2000	Postdoc	Swall, Jenise Lynn	Associate Professor of Statistics, Virginia Commonwealth University, August 2011
2000	Postdoc	Lee, Jaeyong	Professor, Department of Statistics, Seoul National University, Seoul, Korea, July 2003
2001	Postdoc	Ashih, Heidi Wen	Consultant, Einstein's Workshop, September 2022
2001	Postdoc	Chattopadhyay, Somesh	Instructor, George Washington University
2001	Postdoc	Spang, Ranier	Chair of Statistical Bioinformatics Department, Institute of Functional Genomics, Statistical Bioinformatics, University of Regensburg, 2006
2001	Postdoc	Zuzan, Harry	Principal Statistician, MicroByre, Dec 2019-November 2020
2002	Postdoc	Lee, Herbert Herbie K	Vice Provost for Academic Affairs, and Professor of Statistics and Applied Mathematics, University of California at Santa Cruz, September 2010
2002	Postdoc	Kottas, Athanasios	Professor of Statistics, University of California, Santa Cruz, September 2002
2003	Postdoc	Krause, Jeff	Statistician, Program Manager, Social and Scientific Systems, March 2016
2003	Postdoc	McBride, Sandra	Principal Investigator, DLH Corporation, October 2018
2003	Postdoc	Valeva, Anna	Associate Professor, Decision Sciences, Western Illinois University, June 2013
2004	Postdoc	Barber, Jarrett	Adjunct Faculty, School of Mathematical & Statistical Science, Arizona State University, 2011
2004	Postdoc	Clarke, Jennifer L	Professor, Director, Quantitative Life Science Initiative, Department of Statistics, University of Nebraska-Lincoln, July 2013
2004	Postdoc	Jones, Mary Beatrix	Senior Lecturer, Massey University, NZ, 2018
2004	Postdoc	Yuan, Weishi Vivian	Mathematical Statistician (Biomedical), USFDA, Silver Springs MD, 2018

Year	Program	Name	Employment
2005	Postdoc	Dobra, Adrian	Professor, University of Washington, March 2020
2006	Postdoc	Zhai, Jun	Senior Consultant, Cardno ENTRIX, September 2011
2007	Postdoc	Carvalho, Carlos Marinho	La Quinta Centennial Professor of Statistics, Department of Statistics and Data Sciences, Department of Information, Risk, and Operations Management, The University of Texas at Austin, McCombs School of Business, July 2010
2008	Postdoc	Shen, Haige	Lead Statistician, China Novartis Institutes of Biomedical Research, September 2013
2009	Postdoc	Das, Sourish	Associate Professor, Chennai Mathematical Institute, January 2019
2009	Postdoc	Manolopoulou, Ioanna	Associate Professor, University College London, October 2018
2010	Postdoc	Bhattacharya, Abhishek	Assistant Professor, Statistics and Mathematics, Kolkata Indian Statistical Institute, 2010
2011	Postdoc	Merl, Daniel M	Machine Intelligence Group Leader, Lawrence Livermore National Laboratory, 2019
2011	Postdoc	Fox, Emily	Professor, Paul G. Allen School of Computer Science and Engineering and Department of Statistics, University of Washington, Seattle, 2020
2011	Postdoc	Burgette, Lane	Senior Statistician, RAND Corporation, September 2011
2012	Postdoc	Ghosh, Souparno	Associate Professor, Department of Statistics, Institute of Agriculture and Natural Resources, University of Nebraska-Lincoln, Fall 2019
2012	Postdoc	Hannah, Lauren A	Senior Researcher in Mind, Apple, June 2023
2012	Postdoc	Zhu, Hongxiao	Assistant Professor, Virginia Tech, August 2012
2012	Postdoc	Irincheeva, Irina	Senior Bioinformatics Scientist, CSL Behring, August 2020
2012	Postdoc	Ekici, Oya	Assistant Professor, Political Sciences, Department of Business Administration, Istanbul University, 2018
2012	Postdoc	Zhu, Bin	Tenure Track Investigator, Biostatistics Branch, NCI/DCEG, NIH - National Cancer Center, 2012
2013	Postdoc	Bhattacharya, Anirban	Associate Professor, Texas A&M University, September 2018
2013	Postdoc	Tchumtchoua Kabisa, Sylvie	Analytics Software Tester, SAS Institute, December 2015
2013	Postdoc	Brynjarsdottir, Jenny	Assistant Professor, Case Western Reserve University, August 2013
2013	Postdoc	Monteiro, Joao	Principal Clinical Data Scientist, Medtronic, March 2018
2013	Postdoc	Manrique Vallier, Daniel	Associate Professor, Statistics, Indiana University Bloomington, July 2019
2013	Postdoc	Batista, Sandra	Assistant Teaching Professor, Computer Science, UCLA, July 2024
2014	Postdoc	Rao, Vinayak	Assistant Professor, Statistics, Purdue University, August 2020
2014	Postdoc	Guhaniyogi, Rajarshi	Associate Professor, Texas A&M University, July 2021
2014	Postdoc	Lin, Lizhen	Robert and Sara Lumpkins Associate Professor in Applied and Computational Mathematics and Statistics, The University of Notre Dame, July 2020
2014	Postdoc	Minsker, Stanislav	Assistant Professor, Math, University of Southern California, August 2015
2014	Postdoc	Lock, Eric	Associate Professor, Biostatistics, School of Public Health, University of Minnesota, 2020
2014	Postdoc	Vogelstein, Joshua	Assistant Professor, John Hopkins University, August 2014, Co-Founder, Gigantum, April 2017
2014	Postdoc	Lopiano, Kenny	Co-Founder and Director of Research and Development, Roundtable Analytics, March 2014
2014	Postdoc	Guo, Xin	VP Bioinformatics, Apostle, Inc. and Co-Founder, March 2017
2014	Postdoc	Fosdick, Bailey	Associate Professor, Colorado School of Public Health, August 2022
2014	Postdoc	Som, Agniva	Senior Machine Learning Scientist, Amazon India, April 2018

Year	Program	Name	Employment
2015	Postdoc	Kim, Hang	Assistant Professor, University of Cincinnati, August 2015
2015	Postdoc	Srivastava, Sanvesh	Assistant Professor, Department of Statistics and Actuarial Sciences, University of Iowa, August 2015
2015	Postdoc	Schliep, Erin	Assistant Professor, Director of Graduate Admissions, Statistics, University of Missouri, August 2015
2015	Postdoc	Strawn, Nathan	Assistant Professor, Georgetown University, August 2015
2015	Postdoc	Gao, Wei	Professor of Statistics, Xi'an University of Finance and Economics, China
2016	Postdoc	Monod, Anthea	Lecturer (Assistant Professor), Biomathematics, Imperial College London, July 2020, Associate Research Scientist, Columbia University
2016	Postdoc	Li, Cheng	Associate Professor, National University of Singapore, July 2023
2016	Postdoc	Datta, Jyotishka	Assistant Professor, Virginia Tech, January 2021
2016	Postdoc	Miller, Jeffrey	Assistant Professor, Biostatistics, Harvard T.H. Chan School of Public Health, 2016
2016	Postdoc	Taylor-Rodriguez, Daniel	Assistant Professor, Portland State University, September 2017
2017	Postdoc	Sarkar, Abhra	Assistant Professor, Department of Statistics and Data Sciences, University of Texas at Austin, August 2017
2017	Postdoc	DeYoreo, Maria	Statistician, Rand Corporation, July 2019
2017	Postdoc	Sadinle Garcia-Ruiz, Mauricio	Assistant Professor of Biostatistics, University of Washington, September 2017
2017	Postdoc	Jaeger, Adam	Assistant Professor, Wichita State University, August 2018
2017	Postdoc	Li, Meng	Noah Harding Assistant Professor of Statistics, Rice University, July 2017
2017	Postdoc	Zhang, Zhengwu	Assistant Professor, University of North Carolina, Chapel Hill, January 2021
2018	Postdoc	Betancourt, Brenda	Assistant Professor, Department of Statistics, University of Florida, August 2018
2018	Postdoc	Jones, David E.	Assistant Professor, Department of Statistics, Texas A&M University
2018	Postdoc	Dutta, Subhajit	Assistant Professor, Department of Mathematics and Statistics, Indian Institute of Technology, August 2018
2018	Postdoc	Chevallier, Emmanuel Pierre	Assistant Professor, Aix-Marseille University in France, September 2018
2018	Postdoc	Huang, Huang	Quantitative Researcher and Developer, Abu Dhabi Investment Authority, AIDA, King Abdullah University of Science and Technology, 2022
2019	Postdoc	Han, Shaobo	Senior Researcher, NEC Laboratories America Inc, June 2023
2019	Postdoc	Barrientos, Andrés Felipé	Assistant Professor, Statistics, Florida State University, 2019
2019	Postdoc	Mukhopadhyay, Minerva	Assistant Professor, Indian Statistical Institute, Kolkata, January 2019
2019	Postdoc	Dumitrascu, Bianca	Member, School of Mathematics, Special Year on Optimization, Statistics, and Theoretical Machine Learning, Institute for Advanced Study, 2020
2019	Postdoc	Kaplan, Andee	Assistant Professor, Statistics, Colorado State University, August 2019
2019	Postdoc	Thoppe, Gugan	Assistant Professor, Computer Science and Automation, Indian Institute of Science, Bengaluru, December 2020
2020	Postdoc	Roy, Arkaprava	Assistant Professor, Biostatistics, University of Florida, June 2020
2020	Postdoc	Ellison, Victoria	Teaching Assistant, Department of Statistics, University of Illinois at Urbana-Champaign, June 2020
2020	Postdoc	Chandra, Noirrit	Postdoctoral Fellow, Department of Statistics and Data Sciences, University of Texas at Austin, July 2020
2020	Postdoc	Patino, Jairo Alberto Fuquene	Assistant Professor, Statistics, University of California, Davis, July 2020
2021	Postdoc	Guha, Sharmista	Assistant Professor, Statistics, Texas A&M University, College Station, July 2021
2022	Postdoc	Han, Rungang	Quantitative Researcher, Jump Trading, LLC, Septembert 2022
2023	Postdoc	Peruzzi, Michele	Tenure-Track Assistant Professor, University of Michigan-Ann Arbor, August 2023
2024	Postdoc	Horiguchi, Akira	Visiting Assistant Professor, Department of Statistics, UC Davis, August 2024
2024	Postdoc	Dewaskar, Miheer	Assistant Professor, Department of Mathematics and Statistics, University of New Mexico , August 2024
2024	Postdoc	Xu, Maoran	Assistant Professor, Indiana University Bloomington, August 2024
2024	Postdoc	Meyer, Elijah	Teaching Assistant Professor, Department of Statistics, North Carolina State University, August 2024
2024	Postdoc	Zhou, Xiaoxiao	Assistant Professor, Biostatistics, University of Alabama, Birmingham, August 2024
2024	Postdoc	van Loon, Austin	Postdoctoral Associate, Massachusetts Institute of Technology, July 2024
2024	Postdoc	Vanloon, Austin	Assistant Professor, Work and Organization Studies, MIT Management Sloan School, July 2024

Alumni Lists and Theses

We are currently updating all of our alumni pages. Please stay tuned.

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