Our Ph.D. Alums

Sorted by Advisor
Advisor Name Year Employment Dissertation
Alan Gelfand Chakraborty, Avishek 2010 Assistant Professor, Mathematical Sciences, J. William Fulbright College of Arts & Sciences
University of Arkansas, 2014
Modeling Point Patterns, Measurement Error and Abundance for Exploring Species Distributions
Alan Gelfand Duan, Jun 2006 Associate Professor, University of Texas at Austin, Jul 2008 Bayesian Nonparametric and Differential Equation Approaches
Alan Gelfand Gray, Simone C 2010 Statistician, Centers for Disease Control and Prevention, Feb 2012  Spatial Modeling of Measurement Error in Exposure to Air Pollution
Alan Gelfand Heaton, Matthew J 2011 Associate Professor in the Department of Statistics, Brigham Young University, Jul 2019  Kernel Averaged Predictors for Space and Space-Time Processes
Alan Gelfand Hellmayr, Christoph 2017 Research Scientist, 84.51 Dec 2018 Non-Parametric Priors for Functional Data and Partition Labelling Models
Alan Gelfand Leininger, Thomas J 2014

Senior Manager, Data Science, Jan 2019 

Bayesian Analysis of Spatial Point Patterns
Alan Gelfand Lum, Kristian Catherine 2010 Statistician, Human Rights Data Analysis Group (HRDAG), 2014  Bayesian Spatial Quantile Regression
Alan Gelfand Puggioni, Gavino 2008 Associate Professor and Head of Statistics, Computer Science and Statistics; College of Arts and Sciences, University of Rhode Island, Jul 2018  Using Data Augmentation and Stochastic Differential Equations in Spatio Temporal Modeling
Alan Gelfand Sang, Huiyan 2008 Associate Professor, Texas A&M University Extreme Value Modeling For Space-Time Data With Meteorological Applications
Alan Gelfand Shirota, Shinichiro 2017 Postdoctoral Researcher, AIP (advanced intelligence project) center, Riken, Tokyo, 2019  Bayesian Modeling & Computation for Complex Spatial Point Patterns
Alan Gelfand Terres, Maria A 2014 Senior Data Scientist, Waymo, Oct 2018  Multivariate Spatial Process Gradients with Environmental Applications
Alan Gelfand Wang, Fangpo 2013 Senior Data Scientist, Adobe, May 2016  Space and Space-Time Modeling of Directional Data
Alan Gelfand White, Philip Andrew 2019 Assistant Professor, Brigham Young University, Aug 2019  Topics in Bayesian Spatiotemporal Prediction of Environmental Exposure
Alan Gelfand Xia, Gangqiang 2006 Managing Director, Morgan Stanley, New York City, Aug 2008  On Large Sample Size Issues in Spatial Statistics
Amy Herring Moran, Kelly 2020 Scientist II, Los Alamos National Laboratory, Winter 2020 Advances in Bayesian Factor Modeling & Scalable Gaussian Process Regression
David Banks Au, Timothy C 2014 Staff Statistician, Google, Nov 2019 Topics in Computational Advertising
David Banks Chai, Christine 2017 Software Engineer, Microsoft, Feb 2019 Statistical Issues in Quantifying Text Mining Performance
David Banks Heard, Daniel 2014 Business Strategy Analyst, at USAA, Jan 2020 Statistical Inference Utilizing Agent Based Models
David Banks Owens-Oas, Derek 2018 Data Scientist, Toptal, Jan 2020  Probabilistic Models for Text in Social Networks
David Banks Vance, Eric Alan 2008 Associate Professor and Director LISA (Laboratory for Interdisciplinary Statistical Analysis), University of Colorado Boulder, Aug 2016   Statistical Methods for Dynamic Network Data
David Dunson


Banerjee, Anjishnu 2013 Associate Professor, Medical College of Wisconsin, Jun 2019 Scalable Nonparametric Bayes Learning
David Dunson Bhattacharya, Anirban 2012 Assistant Professor, Texas A&M University, 2013  Bayesian Semi-Parametric Factor Models
David Dunson Cui, Kai 2012

Managing Director and Head of Data Science, Neuberger Berman Investment Advisors, Jan 2021

Bayesian Modeling and Computation for Mixed Data 
David Dunson Gunn, Laura Hilton 2004 Associate Professor of Public Health Sciences, Director of Health Analytics and Outcomes Research Academy (HAnORA), UNC - Charlotte-Aug 2018  Bayesian Order Restricted Methods with Biomedical Applications
David Dunson Johndrow, James E 2016 Stein Fellow/Lecturer, Stanford University, Sep 2016, Assistant Professor, The Wharton School, Jul 2019  Bayesian Inference in Large-Scale Problems
David Dunson Kunihama, Tsuyoshi 2015 Assistant Professor, Department of Economics, Kwansei Gakuin University, Apr 2017  Nonparametric Bayes Analysis of Social Science Data
David Dunson Pati, Debdeep 2012 Associate Professor, Texas A&M University, Sep 2017  Bayesian Nonparametric Modeling and Theory for Complex Data
David Dunson Patra, Sayan  2019 Data Scientist, Applied Research, LinkedIn, Nov 2019  Constrained Bayesian Inference through Posterior Projection with Applications
David Dunson Petralia, Francesca 2013 Assistant Professor at Icahn School of Medicine at Mount Sinai, Sep 2016  Structured Bayesian Learning Through Mixture Models
David Dunson Qamar, Shaan 2015 Senior Data Scientist, Google, Nov 2017  Topics in Bayesian Computation for Streaming Data & Structured Sparse Regression
David Dunson Shi, Minghui 2011 Data Scientist, Google, Aug 2015  Bayesian Sparse Learning for High Dimensional Data
David Dunson Van Den Boom, Willibordus Petrus Maria 2018 Research Fellow, Yale, NUS College of the National University of Singapore specializing in Bayesian Statistics, Jul 2020 Tailored Scalable Dimensionality Reduction
David Dunson Wang, Lu 2018 Assistant Professor, Central South University, Jul 2018 Statistical Modeling of Brain Network Data
David Dunson Wang, Xiangyu 2016 Software Engineer, Google Sep 2016  Distributed Feature Selection in Large N and Large P Regression Problems
David Dunson Wang, Ye 2018 Research Scientist, Facebook, Jun 2018  Bayesian Computation for High-Dimensional Continuous & Sparse Count Data
David Dunson Yang, Hongxia 2010 Senior Staff Data Scientist & Director, Alibaba Group, Sep 2016  Nonparametric Bayes Models for High-Dimensional and Sparse Data
David Dunson, Surya Tokdar Yang, Yun 2014 Postdoctoral Fellow, UC Berkeley, Sep 2014  Nonparametric Bayes for Big Data
David Gelfand, Alan, Dunson Rodriguez, Abel 2007 Professor, University of Washington, Sep 2020 Some Advances in Bayesian Nonparametric Modeling
David Higdon Holloman, Christopher Haydon 2002 Sr. Director of Analytics, REX Aug 2020 Parameter Estimation Algorithms for Computationally Intensive Spatial Problems
David Higdon Kern II, John Charles 2000 Associate Dean/Associate Professor, McAnulty College and Graduate School of Liberal Arts, Department of Mathematics and Computer Science, Duquesne University, Jul 2000  Bayesian Process-Convolution Approaches to Specifying Spatial Dependence Structure
David Higdon Swall, Jenise Lynn 1999 Associate Professor of Statistics, Virginia Commonwealth University, Aug 2011  Nonstationary Spatial Modeling using a Process Convolution Approach
David Higdon, Michael Lavine Calder, Catherine Agnes 2003 Professor and Chair of Statistics and Data Sciences, The University of Texas at Austin, Aug 2019 Exploring Latent Structure in Spatial Temporal Processes Using Process Convolutions
Donald Berry Gopalan, Ram 1994 Executive Director, Biostatistics and Data Management, Dermira, Inc, Jun 2017 Bayesian Multiple Comparisons Using Dirichlet Process Priors
Donald Berry Inoue, Lurdes Yoshiko Tani 1999 Professor and Gilbert S. Omenn Endowed Chair in Biostatistics, University of Washington, Sep 2019 Bayesian Design and Analysis of Clinical Experiments (Abstract Only)
Donald Berry Li, Chengchang 1994 Vice President, HSBC, 2000 Comparing Survival Data For Two Therapies: Nonhierarchical and Hierarchical Bayesian Approaches
Donald Berry Lin, Zhengning 1993 Vice President, Head of Biometrics, Ascendis Pharma, Inc. 2017  Statistical Methods for Combining Historical and Current Clinical Trial Data
Donald Berry Qian, Jiang 1994 Director, Data and Statistical Science, AbbVie, Inc A Bayesian Weibull Survival Model
Donald Berry, Giovanni Parmigiani Ashih, Heidi Wen 2000 Statistical Consultant, American College of Radiology, Jan 2017  Joint Estimation of Mammographic Sensitivity and Tumor Growth
Donald Berry, Giovanni Parmigiani Su, Fusheng 1996 HUAYI Clinical Research, Jiaxing Limit Theorems on Deviation Probabilities with Applications in Two-Armed Clinical Trials
Edwin Iversen, Merlise Clyde Wilson-Quintana, Melanie 2010 Statistical Science, Berry Consultants, Apr 2013 Bayesian Model Uncertainty and Prior Choice with Applications to Genetic Association Studies
Fan Li Lorenzi, Elizabeth Catherine Liz 2019 Statistical Scientist, Berry Consultants, Inc., Jun 2019  Advancements in Probabilistic Machine Learning & Causal Inference for Personalized Medicine
Fan Li Nguyen, Nghi Le Phuong Maggie 2018 Biostatistician, Duke Molecular Physiology Institute, September 2018   Essays on Propensity Score Methods for Causal Inference in Observational Studies
Fan Li, Jerry Reiter Akande, Olanrewaju 2019 Asst. Professor of the Practice, Duke Social Science Research Institute and Statistical Science, Jul 2019  Bayesian Models for Imputing Missing Data & Editing Erroneous Responses in Surveys
Fan Li, Jerry Reiter Schwartz, Scott Lee 2010 Statistical Geneticist and Bioinformatics Scientist, Texas A&M University, Jul 2011 Bayesian Mixture Modeling Approaches for Intermediate Variables and Causal Inference
Giovanni Parmigiani Gudbjartsson, Daniel Fannar 2000 VP Applied Statistics, deCODE Genetics, Iceland, 1998  Multipoint Linkage Analysis based on Allele Sharing Models
James Berger Chang, Shih-Han 2015 Research Scientist, Facebook, Apr 2019  Interfaces Between Bayesian and Frequentist Multiple Testing
James Berger Gu, Mengyang 2016 Assistant Professor at UC Santa Barbara- Jul 2019  Robust Uncertainty Quantification and Scalable Computation for Computer Models with Massive Output
James Berger Liu, Fei 2007 Assistant Professor, Queens College, Retired Bayesian Functional Data Analysis for Computer Model Validation
James Berger Molina, German 2003 Quantitative Trading, Idalion Capital, London UK & DeLand FLA, US Bayesian Stochastic Computation, with Application to Model Selection and Inverse Problems
James Berger Paulo, Rui Miguel Batista 2002 Assistant Professor at ISEG Technical University in Portugal, Jun 2017  Problems on the Bayesian/Frequentist Interface
James Berger Pena Pizarro, Victor 2018 Assistant Professor, Statistics, Baruch College, (Zicklin, CUNY) Aug 2018  Bayesian Model Uncertainty and Foundations
James Berger Scott, James Gordon 2009 Associate Professor, Joint appointment in the McCombs School of Business and the Department of Statistics & Data Sciences, University of Texas of Austin, Sep 2015  Bayesian Adjustment for Multiplicity
James Berger Wang, Xiaojing 2012 Assistant Professor, University of Connecticut, Aug 2012  Bayesian Modeling Using Latent Structures
James Berger, Robert Wolpert Kyzyurova, Ksenia N 2017   On Uncertainty Quantification for Systems of Computer Models
James Berger, Robert Wolpert Lopes, Danilo Lourenco 2011 Residues Field Manager, Bayer, Jan 2020  Development and Implementation of Bayesian Computer Model Emulators
Jerry Reiter Dalzell, Nicole M 2017 Assistant Teaching Professor in Statistics, Wake Forest University, Aug 2017  Bayesian Approaches to File Linking with Faulty Data
Jerry Reiter Heck-Wortman, Joan Pearson 2019 Director, Data Science, Democratic National Committee, Oct 2019 Record Linkage Methods with Applications to Causal Inference and Election Voting Data
Jerry Reiter Hu, Jingchen Monika 2015 Assistant Professor of Statistics, Vassar College-Jul 2015  Dirichlet Process Mixture Models for Nested Categorical Data
Jerry Reiter Kinney, Satkartar Kaur 2007 Research Statistician, RTI International, 2015  Model selection and multivariate inference using data multiply imputed for disclosure limitation and nonresponse
Jerry Reiter Kohnen, Christine Noelle 2005 Mathematics Faculty, Providence Academy Using Multiply Imputed, Synthetic Data to Facilitate Data Sharing
Jerry Reiter McClure, David Robert 2015 Consultant, Risk Advisory, Deloitte, UK Apr 2016  Relaxations of Differential Privacy & Risk/Utility Evaluations of Synthetic Data & Fidelity Measures
Jerry Reiter Mitra, Robin 2008 Lecturer, Lancaster University, UK, 2017  Bayesian Methods to Impute Missing Covariates for Causal Inference and Model Selection
Jerry Reiter Murray, Jared Scott 2013 Assistant Professor, Statistics and Machine Learning, The University of Texas at Austin, Jul 2017 Some Recent Advances in Non- and Semiparametric Bayesian Modeling with Copulas, Mixtures, and Latent Variables
Jerry Reiter Paiva, Thais Viana 2014 Assistant Professor, Statistics, Federal University of Minas Gerais, UFMG, Belo Horizonte, Brazil Mar 2016  Multiple Imputation Methods for Nonignorable Nonresponse, Adaptive Survey Design, and Dissemination of Synthetic Geographies
Jerry Reiter Schifeling, Tracy Boswell 2016

Data Scientist, AlgoInformatics, Feb 2022

Combining Information from Multiple Sources in Bayesian Modeling
Jerry Reiter Si, Yajuan Sophie 2012 Research Assistant Professor, Tenure Track, University of Michigan, Sep 2017  Nonparametric Bayesian Methods for Multiple Imputation of Large Scale Incomplete Categorical Data in Panel Studies
Jerry Reiter Wei, Lan 2016 Director of Marketing Science, In4mation Insights, Sep 2016-2017 Methods for Imputing Missing Values and Synthesizing Confidential Values for Continuous and Magnitude Data
Joseph Lucas Mayrink, Vinicius D 2011 Associate Professor in the Department of Statistics at Universidade Federal de Minas Gerais, Belo Horizonte, Brazil (UFMG), 2012  Factor Models to Describe Linear and Non-linear Structure in High Dimensional Gene Expression Data
Katherine Heller Futoma, Joe 2018 Research Scientist, Apple, Jun 2020 Gaussian Process-Based Models for Clinical Time Series in Healthcare
Li Ma Christensen, Jonathan C 2017 Visiting Assistant Professor, Wake Forest University, Aug 2018  Applications and Computation of Stateful Polya Trees
Li Ma Gorsky, Shai 2020 Lecturer, University of Massachusetts, Amherst, Aug 2020 Nonparametric Methods for Analysis & Modeling of Complex Multivariate Distributions
Li Ma Mao, Jialiang 2020 Applied Research Intern, LinkedIn, Aug 2020 Pyramid Multi-resolution Scanning for Two-sample Comparison  (Embargo)
Li Ma Soriano, Jacopo 2015 Senior Data Scientist, YouTube Data Science Team, Nov 2017  Bayesian Methods for Two-Sample Comparison
Merlise Clyde Chu, Jen-Hwa 2007 Assistant Professor, Yale School of Medicine, Dec 2015  Bayesian Function Estimation Using Overcomplete Dictionaries with Application in Genomics
Merlise Clyde Ghosh, Joyee 2008 Associate Professor, Department of Statistics and Actuarial Science, The University of Iowa-Jul 2016  Efficient Bayesian Computation and Model Search in Linear Hierarchical Models
Merlise Clyde Li, Yingbo 2013 Senior Manager, Data Science, Capital One, Jun 2017  Bayesian Hierarchical Models for Model Choice
Merlise Clyde, Edwin Iversen Luo, JingQin Rosy 2006 Co-director, Assistant Professor, Siteman Cancer Center (SCC) Biostatistics Shared Resource, Division of Public Health Sciences, St. Louis, Oct 2020 Model Selection, Covariance Selection and Bayes Classification via Shrinkage Estimators
Merlise Clyde, Giovanni Parmigiani Sasinowska Desimone, Heather 1996 COO and Principal Statistician, Incogen, Inc., Jun 1999 Prediction Using Orthogonalized Model Mixing
Merlise Clyde, Robert Wolpert House, Leanna Lynn 2006 Associate Professor, Virginia Tech, Department of Statistics-Aug 2008  Nonparametric Bayesian Models in Expression Proteomic Applications
Merlise Clyde, Robert Wolpert Ouyang, Zhi 2008 Analyst, Google, Dec 2017  Bayesian Additive Regression Kernels
Merlise Clyde, Robert Wolpert Tu, Chong 2006 Senior Investment Director, Fosun Group, Retired Bayesian Nonparametric Modeling Using Levy Process Priors with Applications for Function Estimation, Time Series Modeling and Spatio-Temporal Modeling
Michael Lavine Bullard, Floyd A 2009 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 De Iorio, Maria 2001 Professor, Biostatistics, University College, London, Sep 2011  Markov Random Fields at Multiple Resolutions and an ANOVA Model for Dependent Random Measures
Michael Lavine Leman, Scotland Charles 2007 Associate Professor, Virginia Tech, Department of Statistics-Aug 2008  On Evolutionary Theory, Inference, and Simulation: A Geneological Perspective
Michael Lavine Rappold, Ana G. 2004 Statistician at U.S. Environmental Protection Agency, Jan 2005  Using Expert Knowledge when the Data Model is Unknown with an Application In Modeling the Mixed Layer of the Atlantic Ocean
Michael Lavine Ruggeri, Fabrizio 1994 Research Director at the Italian National Research Council in Milano, 1988 Bayesian Nonparametrics, Robustness and Fréchet Classes
Michael Lavine Tardella, Luca 1998 Professor, Statistical Science, Sapienza, Universita Di Roma, 1997 Some Topics in Bayesian Methodology (Abstract Only)
Mike West Aguilar, Omar 1998 Chief Investment Officer of Passive Equities and Multi-Asset Strategies at Charles Schwab Investment Management, Inc.
Message San Francisco, CA, 2011
Latent Structure in Bayesian Multivariate Time Series Models
Mike West Berry, Lindsay Rebecca 2019 Statistical Scientist, Berry Consultant, Inc., Jul 2019  Bayesian Dynamic Modeling and Forecasting of Count Time Series
Mike West


Bonassi, Fernando Vieira 2013


Quantitative Analyst, YouTube Data Science Team, Google, Jan 2015

Approximate Bayesian Computation for Complex Dynamic Systems
Mike West Cao, Guoliang Charlie 1993 Statistics Head, Biogen, Late Clinical Development, Feb 2019  Bayesian Nonparametric Mixture Modeling
Mike West Carvalho, Carlos Marinho 2006 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, Jul 2010  Structure and Sparsity in High-Dimensional Multivariate Analysis
Mike West Chen, Xi 2017 Quantitative Researcher, Citadel Securities, Mar 2020  Bayesian Dynamic Modeling for Streaming Network Data
Mike West Chen, Yang 1997 Managing Director, BlackRock, Risk and Quantitative Analysis Group, NYC, Dec 2012 Bayesian Time Series: Financial Models and Spectral Analysis
Mike West Cron, Andrew Jonathan 2012 Vice President, Research & Development, 84.51, Oct 2018  Mixture Modeling, Sparse Covariance Estimation and Parallel Computing in Bayesian Analysis
Mike West Ferreira, Marco Antonio Rosa 2002 Associate Professor and Director of Graduate Programs in Statistics, Virginia Tech, 2014  Bayesian Multi-scale Modelling
Mike West Hans, Christopher Mark 2005 Associate Professor of Statistics and Co-Director, Undergraduate Data Analytics Major, The Ohio State University-Feb 2014 Regression Model Search and Uncertainty With Many Predictors
Mike West Huerta, Gabriel 1998 Statistician, Sandia National Laboratories, 2018  Bayesian Analysis of Latent Structure in Time Series Models
Mike West Irie, Kaoru 2016 Assistant Professor of Economics, Department of Statistics, Graduate School of Economics, The University of Tokyo, Jun 2016  Bayesian Emulation for Sequential Modeling, Inference and Decision Analysis
Mike West Ji, Chunlin 2009 Vice President for Research and Education, Kuang-Chi Institute of Advance Technology, Apr 2010  Advances in Bayesian Modelling and Computation: Spatio-temporal Processes, Model Assessment and Adaptive MCMC
Mike West Lavine, Isaac 2020 Quantitative Researcher, Susquehanna International Group, LLP, Jul 2020 Bayesian Computation for Variable Selection & Multivariate Forecasting in Dynamic Models
Mike West Li, Frank 1997 President, CEO, Panton, Inc. Jan 2014 Time Deformation Models: Theory and Practice
Mike West Liao, Ming 2005 Adjunct Professor, Business and Economics, Senior Advisor, New York University, 2017 Bayesian Models and Machine Learning with Gene Expression Analysis Applications
Mike West Lin, Lin 2012 Assistant Professor of Statistics, Pennsylvania State University, Aug 2015  Bayesian Variable Selection in Clustering and Hierarchical Mixture Modeling
Mike West Liu, Fang Jane 2000 Retired - from Equities Quantitative Strategies Group, UBS Bayesian Time Series: Analysis Methods Using Simulation-Based Computation
Mike West Lourdes, Viridiana 2000 Data Scientist, Ayasdi, Nov 2017  Bayesian Modeling and Analysis of Multivariate Time Series, with Applications in Finance and Health Policy
Mike West McAlinn, Kenichiro 2017 Assistant Professor of Statistical Science, Fox School of Business,  Temple University, Jul 2019 Dynamic Modeling & Bayesian Predictive Synthesis
Mike West Mukherjee, Chiranjit 2011 Senior Data Scientist, Netflix, Jun 2015  Bayesian Modelling and Computation in Dynamic and Spatial Systems
Mike West Nakajima, Jouchi 2012 Head of Macro Modeling Unit, Research and Statistics Department, Bank of Japan, Tokyo, July 2019  Bayesian Analysis of Latent Threshold Models
Mike West Niemi, Jarad Bohart 2009 Associate Professor, Iowa State University, Aug 2017  Bayesian Analysis and Computational Methods for Dynamic Modeling
Mike West Paddock, Susan Mary 1999 Executive Vice President and Chief Statistician, NORC at the University of Chicago Randomized Polya Trees: Bayesian Nonparametrics for Multivariate Data Analysis
Mike West Petris, Giovanni 1997 Professor & Director of Statistics, Department of Mathematical Sciences, University of Arkansas, 2000 Bayesian Analysis of Long Memory Time Series
Mike West Prado, Raquel 1998 Professor, Statistics, University of California- Santa Cruz, CA, Jul 2001 Latent Structure in Non-Stationary Time Series
Mike West Rigat, Fabio Maria 2004 UK Head, Oncology Statistics & Decision Sciences, Janssen (J&J), Nov. 2019  Beta Stacy Survival Models and Bayesian Weibull Survival Trees
Mike West Shen, Haige 2007 Lead Statistician, China Novartis Institutes of Biomedical  Research, Sep 2013 Bayesian Analysis in Cancer Pathway Studies and Probabilistic Pathway Annotation
Mike West Tebaldi, Claudia 1997 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 Wang, Hao 2010 Quantitative Researcher, Citadel Capital Management Bayesian multi- and matrix- variate modelling: Graphical models and time series
Mike West Wu, Yuhong 2006 Research Associate, Highridge Capital Management, Feb 2007  Bayesian Tree Models
Mike West Zhang, Liang 2008 Head of LinkedIn Search and Sales Solutions Al, Director of Engineering at LinkedIn, May 2018  Statistical Computation For Model Space Exploration In High-Dimensional Problems
Mike West Zhao, Yi Zoey 2015 Quantitative Researcher, Citadel, LLC, Jan 2015  Bayesian Multiregression Dyamic Models with Applications in Finance & Business
Mike West, Peter Mueller Lopes, Hedibert Freitas 2000 Full Professor of Statistics and Econometrics, Head of Data and Decision Sciences Group
Insper Institute of Education and Research, Sao Paulo, Brazil, Sep 2013 
Bayesian Analysis in Latent Factor and Longitudinal Models
Mike West, Scott Schmidler Lucas, Joseph 2006 Sr. Director, Analytics Business Consultant, Lumeris, Jul 2018  Sparsity Modeling for High Dimensional Systems: Applications in Genomics and Structural Biology
Peter Hoff Burris, Kyle 2019 Statistical Analyst at Cleveland Indians, May 2019 Advances in Survey Methodology and Sports Science
Peter Hoff Jauch, Michael 2019 Postdoctoral Associate, Center for Applied Mathematics,  Cornell University, Ithaca, NY, Aug 2019 Random Orthogonal Matrices with Applications in Statistics
Peter Mueller Liechty, Merrill Windous 2003 Clinical Professor - Decision Sciences and MIS, Drexel University, Consultant, In4mation Insights, 2009  Covariance Matrices and Skewness: Modeling and Applications in Finance
Peter Mueller Stroud, Jonathan 1999 Associate Professor, Georgetown University's McDonough School of Business, Aug 2015 Bayesian Analysis of Nonlinear Time-Series Models (Abstract Only)
Robert Wolpert Broadbent, Mary Beth 2014 Data Scientist, Google, Jun 2016  Semiparametric Bayesian Regression with Applications in Astronomy
Robert Wolpert Coleman, Jacob Jake 2019 Sr. Quantitative Analyst, Los Angeles Dodgers-Jul 2019  Topics in Bayesian Computer Model Emulation & Calibration with Applications to High Energy Particle Collisions
Robert Wolpert Pillai, Natesh Sivasubramonia 2008 Chief-Scientist, Correlation One, Jun 2019, Member of Scientific Advisory Board, HIAI Capital, Jan 2019, Professor, Department of Statistics, Harvard University, Aug 2017 Levy Random Measures: Posterior Consistency and Applications
Robert Wolpert Ter Horst Gomez, Enrique Alejandro 2003 Associate Professor, Univesidad de Los Andes, Aug 2017  A Lévy generalization of compound Poisson processes in Finance: Theory and applications
Sayan Mukherjee Crawford, Lorin Anthony 2017 Assistant Professor of Biostatistics, Brown University, Jul 2017, Senior Researcher, Microsoft, Sep 2020  Bayesian Kernel Models for Statistical Genetics and Cancer Genomics
Sayan Mukherjee Hahn, P Richard 2011 Associate Professor of Statistics at Arizona State University, Aug 2017  Probability Models for Targeted Borrowing of Information
Sayan Mukherjee Jarrett, Nicholas Walton 2015 Research Scientist, 84.51 2015  Nonlinear Prediction in Credit Forecasting and Cloud Computing Deployment Optimization
Sayan Mukherjee Mao, Kai 2009 Assistant Professor of Surgery, Washington University, St. Louis, Jul 2015  Nonparametric Bayesian Models for Supervised Dimension Reduction and Regression
Sayan Mukherjee St. Thomas, Brian 2015 Data Scientist, Spotify, Jun 2017  Linear Subspace and Manifold Learning Via Extrinsic Geometry
Sayan Mukherjee, Robert Wolpert Lunagomez, Simon 2009 Lecturer in Statistical Modelling for Networks & Structured Data, Lancaster University, Mar 2017  A Geometric Approach for Inference on Graphical Models
Scott Schmidler Challis, Christopher 2013 Manager, Data Sciences, Adobe, Apr 2017  Bayesian Structural Phylogenetics
Scott Schmidler Larson, Gary J 2018 Statistical Analyst, Social & Scientific Systems, Oct. 2018  Advances in Bayesian Modeling of Protein Structure Evolution
Scott Schmidler Marion, Joseph 2018 Statistical Scientist, Berry Consultants, Aug 2018 Finite Sample Bounds and Path Selection for Sequential Monte Carlo
Scott Schmidler Vanderwerken, Douglas N 2015 Assistant Professor, United States Naval Academy, Jul 2015  Monitoring and Improving Markov Chain Monte Carlo Convergence by Partitioning
Scott Schmidler Woodard, Dawn Banister 2007 Director of Data Science, Maps, Uber, Aug 2018  Conditions for Rapid and Torpid Mixing of Parallel and Simulated Tempering on Multimodal Distributions
Scott Schmidler, Robert Wolpert Wang, Jianyu 2013 Lecturer, Indiana University Bloomington, Aug. 2016  Bayesian Modeling and Adaptive Monte Carlo with Geophysics Applications 
Surya Tokdar Cunningham, Erika 2020 Currently seeking employment A Data-Retaining Framework for Tail Estimation
Surya Tokdar Glynn, Christopher 2016 Senior Economist, Zillow, Sep 2020 Advances in Dynamic Modeling and Computation for Count Data
Surya Tokdar Lindon, Michael S 2018 Senior Data Scientist, Experimentation Platform Team, Netflix, Nov 2020 Continuous-Time Models of Arrival Times and Optimization Methods for Variable Selection
Surya Tokdar Montagna, Silvia 2013 Assistant Professor, Dipartimento di Scienze Economico-sociali e Matematico-statistiche University of Torino (Italy),2018  On Bayesian Analyses of Functional Regression, Correlated Functional Data and Non-Homogeneous Computer Models
Valen Johnson Chen, Sining 2002 Adjunct Professor, Data Science Institute, Co-Director of Capstone, Columbia University in the City of New York, Jan  2019 A Deformation Model for Images
Valen Johnson Laading, Jacob 1999 Senior Advisor, DNB, Mar 2020 Practical Methodology for Inclusion of Modality-Specific Modifications in a Hierarchical Bayesian Deformation Model
Valen Johnson McCulloch, Colin 1998 Quantitative Analyst, Google, Inc High-level Image Understanding Through Bayesian Hierarchical Models
Valen Johnson Wilson, Alyson 1995 Associate Vice Chancellor for National Security and Special Research Initiatives and Professor of Statistics, North Carolina State, Aug 2015 Statistical Models for Shapes and Deformations
Valen Johnson, Dalene Stangl Ponisciak, Stephen Michael 2002 Research Associate, Alliance for Catholic Education at University of Notre Dame, Oct 2015  Bayesian Analysis of Teacher Effectiveness
 Sayan Mukherjee Zaidi, Abbas Masud 2019 Causal Inference Researcher, Facebook, May 2019  Bayesian Estimation and Sensitivity Analysis for Causal Inference

Edwin Iversen, Giovanni Parmigiani

Zhou, Xi Kathy 2002 Associate Professor, Weill Cornell Medicine, Sep 2004  Classification of Missense Mutations of Disease Genes