Alumni by Year of Degree
Other Alumni Listings: Alphabetically
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.
- Natesh S Pillai*, Post Doctoral Research Associate University of Warwick, Levy Random Measures: Posterior Consistency and Applications
- Huiyan Sang*, Assistant Professor, Texas A&M University, Extreme Value Modeling For Space-Time Data With Meteorological Applications
- Jen-Hwa Chu*, Postdoctoral Research Fellow, Channing Laboratory, Brigham and Women's Hospital, Harvard Medical School, Bayesian Function Estimation Using Overcomplete Dictionaries with Application in Genomics
- Satkartar Kinney*, Postdoctoral Research Fellow, National Institute of Statistical Sciences, NC, 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, On Evolutionary Theory, Inference, and Simulation: A Geneological Perspective
- Fei Liu*, Assistant Professor, University of Missouri, Columbia, Missouri, Bayesian Functional Data Analysis for Computer Model Validation
- Abel Rodriguez*, Assistant Professor,University of California, Santa Cruz, Some Advances in Bayesian Nonparametric Modeling
- Haige Shen*, Senior Biostatistician, Novartis Research, NJ, Bayesian Analysis in Cancer Pathway Studies and Probabilistic Pathway Annotation
- Dawn Woodard*, Assistant Professor, Cornell University (starting summer 2008), Conditions for Rapid and Torpid Mixing of Parallel and Simulated Tempering on Multimodel Distributions
- Carlos M Carvalho*, Assistant Professor of Econometrics and Statistics, University of Chicago, Structure and Sparsity in High-Dimensional Multivariate Analysis
- J. A. Duan*, Assistant Professor, McCombs School of Business, University of Texas at Austin, Space Time Modelling Using Bayesian Nonparametric and Differential Equation Approaches
- Leanna L House*, Postdoctoral Research Assistant in the Department of Mathematical Sciences at the University of Durham, Durham UK, Nonparametric Bayesian Models in Expression Proteomic Applications
- Joseph E Lucas*, Assistant Research Professor, Institute for Genome Sciences & Policy, Duke University, "Sparsity Modeling for High Dimensional Systems: Applications in Genomics and Structural Biology"
- JingQin Luo*, Instructor, Division of Biostatistics, School of medicine, Washingtion Univeristy, St. Louis., Model Selection, Covariance Selection and Bayes Classification via Shrinkage Estimators
- Chong Tu*, Statistician, Capital One Financial, Bayesian Nonparametric Modeling Using Levy Process Priors with Applications for Function Estimation, Time Series Modeling and Spatio-Temporal Modeling
- Yuhong Wu*, Statistical Arbitrage Researcher, Highbridge Capital Management, NY, "Bayesian Tree Models."
- Gangqiang Xia*, Assistant Vice President, Fixed Income Research, Countrywide Securities, Calabasas, CA, On Large Sample Size Issues in Spatial Statistics
- Chris Hans*, Assistant Professor, Ohio State University, Regression Model Search and Uncertainty With Many Predictors
- Christine N Kohnen*, Ph.D. Alumni, Using Multiply Imputed, Synthetic Data to Facilitate Data Sharing
- Ming Liao*, Senior Manager, The Nielsen Company (AC Nielsen), Stamford, CT, Bayesian Models and Machine Learning with Gene Expression Analysis Applications
- Laura Gunn*, Assistant Professor & Program Coordinator, Georgia Southern University, Bayesian Order Restricted Methods with Biomedical Applications
- Ana G. Rappold*, NRC Research Associate, EPA, RTP, NC
- Fabio Rigat*, Research Fellow, Centre for Research in Statistical Methodology, Department of Statistics, University of Warwick, Coventry, UK, Beta Stacy Survival Models and Bayesian Weibull Survival Trees
- Kate Calder*, Assistant Professor, Department of Statistics, Ohio State University and Associate Director of the Program in Spatial Statistics and Environmental Sciences (SSES), Exploring Latent Structure in Spatial Temporal Processes Using Process Convolutions
- Merrill Liechty*, Assistant Professor, Department of Decision Sciences, LeBow College of Business, Drexel University, Philadelphia, PA, Covariance Matrices and Skewness: Modeling and Applications in Finance
- German Molina*, Emerging Markets Quantitative Trading, Tudor Capital, Epsom, UK, Bayesian Stochastic Computation, with Application to Model Selection and Inverse Problems
- Enrique ter Horst*, Assistant Professor, IESA, Caracas, Venezuela, A Lévy generalization of compound Poisson processes in Finance: Theory and applications
- Sining Chen*, Assistant Professor, Dept. Environmental Health Sciences and Dept. Biostatistics, Johns Hopkins School of Public Health, A Deformation Model for Images
- Marco A.R. Ferreira*, Assistant Professor of Statistics, University of Missouri, Columbia, MO, Bayesian Multi-scale Modelling
- Chris Holloman*, Associate Director, Statistical Consulting Service, The Ohio State University, Parameter Estimation Algorithms for Computationally Intensive Spatial Problems
- Rui Paulo*, Assistant professor, Department of Mathematics, ISEG, Technical University of Lisbon, Lisbon, Portugal, Problems on the Bayesian/Frequentist Interface
- Stephen Ponisciak*, Embedded Researcher, Wisconsin Center for Education Research, University of Wisconsin, Bayesian Analysis of Teacher Effectiveness
- Kathy Zhou*, Assistant Professor of Public Health, Department of Publich Health, Weill Medical College of Cornell University, Classification of Missense Mutations of Disease Genes
- Maria De Iorio*, Lecturer in Statistics, Imperial College, London, England, Markov Random Fields at Multiple Resolutions and an ANOVA Model for Dependent Random Measures
- Heidi Ashih*, House Officer, Cambridge Health Alliance and Clinical Fellow in Psychiatry, Harvard Medical School, Joint Estimation of Mammographic Sensitivity and Tumor Growth
- Daniel Gudbjartsson*, Statistician, deCODE Genetics, Iceland, Multipoint Linkage Analysis based on Allele Sharing Models
- John Kern*, Associate Professor, Duquesne University, Bayesian Process-Convolution Approaches to Specifying Spatial Dependence Structure
- Jane Liu*, Statistical Finance Analyst, UBS Warburg, LLC, CT, Bayesian Time Series: Analysis Methods Using Simulation-Based Computation
- Hedibert Lopes*, Associate Professor of Econometrics and Statistics, University of Chicago, Bayesian Analysis in Latent Factor and Longitudinal Models
- Viridiana Lourdes*, Vice President, Investment Management, Morgan Stanley, NY, NY, Bayesian Modeling and Analysis of Multivariate Time Series, with Applications in Finance and Health Policy
- Lurdes Inoue*, Assistant Professor, Department of Biostatistics, University of Washington, Bayesian Design and Analysis of clinical Experiments
- Jacob Laading*, Head of Risk Management, DnB NOR Markets, Oslo, Norway, Practical methodology for inclusion of modality-specific modifications in a hierarchical Bayesian deformation model
- Susan Paddock*, Statistician, RAND, Santa Monica, CA, Randomized Polya Trees: Bayesian Nonparametrics for Multivariate Data Analysis
- Jonathan Stroud*, Assistant Professor of Statistics, Wharton, Bayesian Analysis of Nonlinear Time-Series Models
- Jenise Swall*, Statistician, National Oceanic and Atmospheric Administration (NOAA), Nonstationary Spatial Modeling using a Process Convolution Approach
- Omar Aguilar*, Senior Vice President and Director of Quantitative Research, ING Investment Management, New York City, Latent Structure in Bayesian Multivariate Time Series Models
- Gabriel Huerta*, Assistant Professor and Regents Lecturer and Department of Mathematics and Statistics, University of New Mexico, Bayesian Analysis of Latent Structure in Time Series Models
- Colin McCulloch*, GE Global Research, High-level Image Understanding Through Bayesian Hierarchical Models
- Raquel Prado*, Associate Professor, Department of Applied Mathematics & Statistics, University of California-Santa Cruz, Latent Structure in Non-Stationary Time Series
- Luca Tardella*, Associate Professor, Dept. Di Statistica, University of Roma I "La Sapienza", Rome, Italy, Some Topics in Bayesian Methodology
- Yang Chen*, Quantitative Analyst/Statistician, Risk Management, AIG International, NY, NY, Bayesian Time Series: Financial Models and Spectral Analysis
- Frank Li*, President, Spectrum-Prime Solutions, L.P., Time Deformation Models: Theory and Practice
- Giovanni Petris*, Associate Professor, Department of Mathematical Sciences, University of Arkansas, Bayesian Analysis of Long Memory Time Series
- Claudia Tebaldi*, Research Scientist, Climate Central, Princeton, NJ, Bayesian Analysis of Network Flow Problems
- Heather D. Sasinowska*, Vice President and COO, INCOGEN, Inc, Prediction Using Orthogonalized Model Mixing
- Fusheng Su*, Sears Financial, Chicago, IL, Limit Theorems on Deviation Probabilities with Applications in Two-Armed Clinical Trials
- Alyson Wilson*, Statistician, Los Alamos National Laboratory, Los Alamos, NM, Statistical Models for Shapes and Deformations
- Ram Gopalan*, President and Consultant, Data Infoworks Inc., Sunnyvale, CA, Bayesian Multiple Comparisons Using Dirichlet Process Priors
- Chengchang Li*, Statistician, Ameritech, Hoffman Estates, IL, Comparing Survival Data For Two Therapies: Nonhierarchical and Hierarchical Bayesian Approaches
- Jiang Qian*, Senior Statistician II, Center of Clinical Assessment, Abbott Laboratories, Abbott Park, IL, A Bayesian Weibull Survival Model
- Fabrizio Ruggeri*, Research Director, CNR-IMATI, Milano, Italy, Bayesian Nonparametrics, Robustness and Fréchet Classes
- Guoliang Cao*, Associate Director of Biometrics, Takeda Global R&D Center, IL, Bayesian Nonparametric Mixture Modeling
- Zhengning Lin*, Senior Manager of Biostatistics, Aventis, Bridgewater, NJ

