PhD Alumni

The Department of Statistical Science (then named the Institute of Statistics and Decision Sciences) established the Statistics PhD program in 1990, and awarded the first PhDs in 1993. Here's the subsequent graduation history, and some data on the current whereabouts of all of our graduates. Click on the column title "Name" to sort alphabetically or "Graduation" to sort by Year.

Please contact the DGS Assistant if you wish to update any information.
 

Name Position Graduationsort ascending Thesis
Fangpo Wang 2013 Space and Space-Time Modeling of Directional Data
Fernando V. Bonassi Statistician, Google Quantitative Marketing, CA 2013 Approximate Bayesian Computation for Complex Dynamic Systems
Anjishnu Banerjee Research Scientist, Amazon LLC 2013 Scalable Nonparametric Bayes Learning
Andrew Cron Analytics Scientist at MaxPoint Interactive 2012 Mixture Modeling, Sparse Covariance Estimation and Parallel Computing in Bayesian Analysis
Jouchi Nakajima Economist, Bank of Japan 2012 Bayesian Analysis of Latent Threshold Models
Kai Cui Quantitative Research Scientist, Validus Group, NYC 2012 Bayesian Modeling and Computation for Mixed Data
Yajuan Si Postdoctoral Research Scholar, Department of Statistics, Columbia University 2012 Nonparametric Bayesian Methods for Multiple Imputation of Large Scale Incomplete Categorical Data in Panel Studies
Lin Lin Postdoctoral Fellow, Fred Hutchinson Cancer Research Center, Seattle 2012 Bayesian Variable Selection in Clustering and Hierarchical Mixture Modeling
Xiaojing Wang Assistant Professor in Department of Statistics at University of Connecticut. 2012 Bayesian Modeling Using Latent Structures
Anirban Bhattacharya Postdoctoral Associate, Statistical Science, Duke University 2012 Bayesian Semi-Parametric Factor Models for High-Dimensional Data
Danilo Lopes Research Fellow, Statistical & Applied Mathematical Sciences Institue, RTP, NC 2012 Development and Implementation of Bayesian Computer Model Emulators
Debdeep Pati Assistant Professor, Department of Statistics, Florida State University 2012 Bayesian Nonparametric Modeling and Theory for Complex Data
Minghui Shi Quantitative Analyst, Google, CA 2011 Bayesian Sparse Learning for High Dimensional Data
Vinicius D. Mayrink Assistant Professor of Statistics, Federal University of Minas Gerais (UFMG) 2011 Factor Models to Describe Linear and Non-linear Structure in High Dimensional Gene Expression Data
Chiranjit Mukherjee Postdoctoral Scholar in Applied Mathematics and Statistics, UC Santa Cruz 2011 Bayesian Modelling and Computation in Dynamic and Spatial Systems
P. Richard Hahn Assistant Professor of Econometrics and Statistics, Chicago Booth Business School, Chicago, IL 2011 Probability Models for Targeted Borrowing of Information
Matt Heaton Postdoctoral Scientist, Geophysical Statistics Project, NCAR, Boulder, CO 2011 Kernel Averaged Predictors for Space andSpace-Time Processes
Hao Wang Assistant Professor, University of South Carolina, Columbia 2010 Bayesian multi- and matrix- variate modelling: Graphical models and time series
Melanie Wilson Quintana Postdoctoral Fellow, University of Southern California 2010 Bayesian Model Uncertainty and Prior Choice with Applications to Genetic Association Studies
Avishek Chakraborty Postdoctoral Fellow, Department of Statistics, Texas A&M University 2010 Modeling Point Patterns, Measurement Error and Abundance for Exploring Species Distributions
Hongxia Yang Research Staff Member, Statistical Analysis & Forecasting Business Analytics & Mathematical Sciences IBM Thomas J. Watson Research Center 2010 Nonparametric Bayes Models for High-Dimensional and Sparse Data
Simone C. Gray Research Statistician, Environmental Protection Agency, RTP, NC 2010 Spatial Modeling of Measurement Error in Exposure to Air Pollution
Kristian C. Lum Assistant Research Professor, Virginia Tech 2010 Bayesian Spatial Quantile Regression
Scott L. Schwartz Statistical Geneticist and Bioinformatics Scientist, Texas A&M University 2010 Bayesian Mixture Modeling Approaches for Intermediate Variables and Causal Inference
Chunlin Ji Vice-President for Research & Education, Kuang-Chi Institute of Advanced Technology, Shenzhen, China 2009 Advances in Bayesian Modelling and Computation: Spatio-temporal Processes, Model Assessment and Adaptive MCMC
Kai Mao Associate Vice President, Citigroup 2009 Nonparametric Bayesian Models for Supervised Dimension Reduction and Regression
James G. Scott Assistant Professor, University of Texas at Austin 2009 Bayesian Adjustment for Multiplicity
Floyd A Bullard Instructor of Mathematics, North Carolina School of Science and Mathematics 2009 Exoplanet Detection: A Comparison of Three Statistics or How Long Should It Take To Find a Small Planet?
Jarad B. Niemi Assistant Professor, Iowa State University 2009 Bayesian Analysis and Computational Methods for Dynamic Modeling
Simon Lunagomez Postdoctoral Fellow, Statistics Dept, Harvard University 2009 A Geometric Approach for Inference on Graphical Models
Robin Mitra Lecturer, University of Southampton, UK 2008 Bayesian Methods to Impute Missing Covariates for Causal Inference and Model Selection
Eric A Vance Assistant Research Professor, Virginia Tech, Department of Statistics 2008 Statistical Methods for Dynamic Network Data
Zhi Ouyang Senior Analyst, Google, CA 2008 Bayesian Additive Regression Kernels
Natesh S Pillai Assistant Professor, Harvard University, Boston, MA 2008 Levy Random Measures: Posterior Consistency and Applications
Liang Zhang Senior Applied Researcher, LinkedIn, CA 2008 Statistical Computation For Model Space Exploration In High-Dimensional Problems
Joyee Ghosh Assistant Professor, University of Iowa 2008 Efficient Bayesian Computation and Model Search in Linear Hierarchical Models
Gavino Puggioni Postdoctoral Associate in Biostatistics, Emory University 2008 Using Data Augmentation and Stochastic Differential Equations in Spatio Temporal Modeling
Huiyan Sang Assistant Professor, Texas A&M University 2008 Extreme Value Modeling For Space-Time Data With Meteorological Applications
Satkartar Kinney Research Statistician, National Institute of Statistical Sciences, NC 2007 Model selection and multivariate inference using data multiply imputed for disclosure limitation and nonresponse
Scotland C Leman Assistant Professor, Virginia Polytechnic Institute and State University 2007 On Evolutionary Theory, Inference, and Simulation: A Geneological Perspective
Dawn Woodard Assistant Professor, Cornell University 2007 Conditions for Rapid and Torpid Mixing of Parallel and Simulated Tempering on Multimodel Distribution
Jen-Hwa Chu Instructor in Medicine, Channing Laboratory, Brigham and Women's Hospital, Harvard Medical School 2007 Bayesian Function Estimation Using Overcomplete Dictionaries with Application in Genomics
Fei Liu Research Statistician, Statistical Analysis & Forecasting Business Analytics & Mathematical Sciences IBM Thomas J. Watson Research Center 2007 Bayesian Functional Data Analysis for Computer Model Validation
Abel Rodriguez Associate Professor,University of California, Santa Cruz 2007 Some Advances in Bayesian Nonparametric Modeling
Haige Shen Principal Biometrician, Novartis Shanghai, China 2007 Bayesian Analysis in Cancer Pathway Studies and Probabilistic Pathway Annotation
Chong Tu Vice President, PIMCO, NYC 2006 Bayesian Nonparametric Modeling Using Levy Process Priors with Applications for Function Estimation, Time Series Modeling and Spatio-Temporal Modeling
Carlos M Carvalho Associate Professor Statistics, The University of Texas McCombs School of Business 2006 Structure and Sparsity in High-Dimensional Multivariate Analysis
Yuhong Wu Statistical Arbitrage Researcher, Highbridge Capital Management, NY 2006 Bayesian Tree Models
Gangqiang Xia Head, Mortgage Modeling Group, Morgan Stanley, NYC 2006 On Large Sample Size Issues in Spatial Statistics
Jason A. Duan Assistant Professor, McCombs School of Business, University of Texas at Austin 2006 Bayesian Nonparametric and Differential Equation Approaches
Joseph E Lucas Assistant Research Professor, Institute for Genome Sciences & Policy, Duke University 2006 Sparsity Modeling for High Dimensional Systems: Applications in Genomics and Structural Biology
Leanna L House Assistant Professor, Virginia Tech, Dept of Statistics 2006 Nonparametric Bayesian Models in Expression Proteomic Applications
JingQin Luo Instructor, Division of Biostatistics, School of medicine, Washingtion Univeristy, St. Louis. 2006 Model Selection, Covariance Selection and Bayes Classification via Shrinkage Estimators
Christine N Kohnen Visiting Assistant Professor, Department of Mathematics, Carleton College 2005 Using Multiply Imputed, Synthetic Data to Facilitate Data Sharing
Ming Liao Senior Manager, The Nielsen Company (AC Nielsen), Stamford, CT 2005 Bayesian Models and Machine Learning with Gene Expression Analysis Applications
Chris Hans Associate Professor, Ohio State University 2005 Regression Model Search and Uncertainty With Many Predictors
Ana G. Rappold Research Statistician, Human Studies Division, EPA, RTP, NC 2004 Using Expert Knowledge when the Data Model is Unknown with an Application In Modeling the Mixed Layer of the Atlantic Ocean
Laura Gunn Associate Professor and Associate Dean of Biostatistics, Jiann-Ping Hsu College of Public Health, Georgia Southern University 2004 Bayesian Order Restricted Methods with Biomedical Applications
Fabio Rigat Head of Research Biostatistics, Novartis Vaccines & Diagnostics, Siena, Italy 2004 Beta Stacy Survival Models and Bayesian Weibull Survival Trees
German Molina Quantitative Trading Researcher, Emerging Markets Quantitative Trading, Tudor Capital, Epsom, UK 2003 Bayesian Stochastic Computation, with Application to Model Selection and Inverse Problems
Merrill Liechty Assistant Professor, Department of Decision Sciences, LeBow College of Business, Drexel University, Philadelphia, PA 2003 Covariance Matrices and Skewness: Modeling and Applications in Finance
Kate Calder Associate Professor, Department of Statistics, Ohio State University 2003 Exploring Latent Structure in Spatial Temporal Processes Using Process Convolutions
Enrique ter Horst Associate Professor, Instituto de Estudios Superiores de Administracion, Caracas, VZ 2003 A Lévy generalization of compound Poisson processes in Finance: Theory and applications
Sining Chen Member of Technical Staff Statistics and Learning Research Department Bell Laboratories, Alcatel-Lucent 2002 A Deformation Model for Images
Stephen Michael Ponisciak Associate Researcher for the Research Center at WCER and in the Department of Applied Research at Chicago Public Schools, as the main liaison between CPS and VARC 2002 Bayesian Analysis of Teacher Effectiveness
Christopher Holloman Director, Statistical Consulting Service, The Ohio State University Auxiliary Associate Professor, Department of Statistics, The Ohio State University 2002 Parameter Estimation Algorithms for Computationally Intensive Spatial Problems
Marco Ferreira Associate Professor of Statistics, University of Missouri - Columbia 2002 Bayesian Multi-scale Modelling
Rui Paulo Assistant professor, Department of Mathematics, ISEG, Technical University of Lisbon, Lisbon, Portugal 2002 Problems on the Bayesian/Frequentist Interface
Xi Kathy Zhou Assistant Professor, Department of Public Health, Weill Medical College of Cornell University 2002 Classification of Missense Mutations of Disease Genes
Maria De Iorio Lecturer in Statistics, Imperial College, London, England 2001 Markov Random Fields at Multiple Resolutions and an ANOVA Model for Dependent Random Measures
Daniel Gudbjartsson Statistician, deCODE Genetics, Iceland 2000 Multipoint Linkage Analysis based on Allele Sharing Models
John Kern Associate Professor, Duquesne University 2000 Bayesian Process-Convolution Approaches to Specifying Spatial Dependence Structure
Viridiana Lourdes Vice President, Investment Management at Morgan Stanley 2000 Bayesian Modeling and Analysis of Multivariate Time Series, with Applications in Finance and Health Policy
Jane Liu Statistical Finance Analyst, UBS Warburg, LLC, CT 2000 Bayesian Time Series: Analysis Methods Using Simulation-Based Computation
Hedibert F. Lopes Associate Professor of Econometrics and Statistics, Booth School of Business, University of Chicago 2000 Bayesian Analysis in Latent Factor and Longitudinal Models
Heidi Ashih Clinical Instructor, Harvard Medical School, and Attending Psychiatrist, Massachusetts General Hospital 2000 Joint Estimation of Mammographic Sensitivity and Tumor Growth
Lurdes Inoue Associate Professor, Department of Biostatistics, University of Washington 1999 Bayesian Design and Analysis of Clinical Experiments
Jacob Laading Head of Risk Management, DnB NOR Markets, Oslo, Norway 1999 Practical Methodology for Inclusion of Modality-Specific Modifications in a Hierarchical Bayesian Deformation Model
Susan Paddock Head of the Statistics Group, The RAND Corporation, Santa Monica, CA 1999 Randomized Polya Trees: Bayesian Nonparametrics for Multivariate Data Analysis
Jonathan Stroud Associate Professor of Statistics, George Washington University, Washington, DC 1999 Bayesian Analysis of Nonlinear Time-Series Models
Jenise L. Swall Associate Professor, Dept. of Statistical Sciences and Operations Research, Virginia Commonwealth University 1999 Nonstationary Spatial Modeling using a Process Convolution Approach
Colin McCulloch Quantitative Analyst, Google 1998 High-level Image Understanding Through Bayesian Hierarchical Models
Raquel Prado Professor, Department of Applied Mathematics & Statistics, University of California-Santa Cruz, CA 1998 Latent Structure in Non-Stationary Time Series
Luca Tardella Associate Professor, Dept. Di Statistica, University of Roma I "La Sapienza", Rome, Italy 1998 Some Topics in Bayesian Methodology
Omar Aguilar Chief Investment Officer at Charles Schwab Investment Management in San Francisco, California 1998 Latent Structure in Bayesian Multivariate Time Series Models
Gabriel Huerta Professor of Statistics, Indiana University Bloomington, IN 1998 Bayesian Analysis of Latent Structure in Time Series Models
Yang Chen Quantitative Analyst/Statistician, Risk Management, AIG International, NY, NY 1997 Bayesian Time Series: Financial Models and Spectral Analysis
Frank Li President, Spectrum-Prime Solutions, L.P. 1997 Time Deformation Models: Theory and Practice
Giovanni Petris Associate Professor, Department of Mathematical Sciences, University of Arkansas 1997 Bayesian Analysis of Long Memory Time Series
Claudia Tebaldi Research Scientist, Climate Central, Princeton, NJ, & NCAR, Boulder, CO 1997 Bayesian Analysis of Network Flow Problems
Fusheng Su HUAYI Clinical Research, Jiaxing 1996 Limit Theorems on Deviation Probabilities with Applications in Two-Armed Clinical Trials
Heather D. Sasinowska Vice President and COO, INCOGEN, Inc 1996 Prediction Using Orthogonalized Model Mixing
Alyson Wilson Research Staff Member IDA Science and Technology Policy Institute 1995 Statistical Models for Shapes and Deformations
Jiang Qian Statistician, Clinical Statistics, Pharma., IL 1994 A Bayesian Weibull Survival Model
Chengchang Li Statistician, Ameritech, Hoffman Estates, IL 1994 Comparing Survival Data For Two Therapies: Nonhierarchical and Hierarchical Bayesian Approaches
Ram Gopalan President and Consultant, Data Infoworks Inc., Sunnyvale, CA 1994 Bayesian Multiple Comparisons Using Dirichlet Process Priors
Fabrizio Ruggeri Research Director, CNR-IMATI, Milano, Italy 1994 Bayesian Nonparametrics, Robustness and Fréchet Classes
Guoliang Charlie Cao Director of Statistics, Takeda Global R&D Center, IL 1993 Bayesian Nonparametric Mixture Modeling
Zhengning Lin Senior Manager of Biostatistics, Aventis, Bridgewater, NJ 1993 Bayesian Nonparametrics, Robustness and Fréchet Classes