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 |