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.

2011:

1. P. Richard Hahn*, Ph.D. Alumni, Probability Models for Targeted Borrowing of Information
2. Matt Heaton*, Ph.D. Alumni, Kernel Averaged Predictors for Space and Space-Time Processes
3. Danilo Lopes*, Ph.D. Alumni, Development and Implementation of Bayesian Computer Model Emulators
4. Vinicius D. Mayrink*, Assistant Professor of Statistics, Federal University of Minas Gerais (UFMG), Factor Models to Describe Linear and Non-linear Structure in High Dimensional Gene Expression Data
5. Chiranjit Mukherjee*, Ph.D. Alumni, Bayesian Modelling and Computation in Dynamic and Spatial Systems
6. Minghui Shi*, Ph.D. Alumni, Bayesian Sparse Learning for High Dimensional Data

2010:

1. Avishek Chakraborty*, Ph.D. Alumni, Modeling Point Patterns, Measurement Error and Abundance for Exploring Species Distributions
2. Simone C. Gray*, Ph.D. Alumni, Spatial Modeling of Measurement Error in Exposure to Air Pollution
3. Kristian C. Lum*, Ph.D. Alumni, Bayesian Spatial Quantile Regression
4. Scott L. Schwartz*, Postdoctoral Associate, Bioinformatics and Nutrition Training Program, Texas A&M University, Bayesian Mixture Modeling Approaches for Intermediate Variables and Causal Inference
5. Hao Wang*, Ph.D. Student, Bayesian multi- and matrix- variate modelling: Graphical models and time series
6. Melanie Wilson Quintana*, Postdoc, University of Southern California, Bayesian Model Uncertainty and Prior Choice with Applications to Genetic Association Studies
7. Hongxia Yang*, Ph.D. Alumni, Nonparametric Bayes Models for High-Dimensional and Sparse Data

2009:

1. Floyd A Bullard*, Statistics Instructor, North Carolina School of Science and Mathematics, Exoplanet Detection: A Comparison of Three Statistics or How Long Should It Take To Find a Small Planet?
2. Chunlin Ji*, Vice-President for Research & Education, Kuang-Chi Institute of Advanced Technology, Shenzhen, China, Advances in Bayesian Modelling and Computation: Spatio-temporal Processes, Model Assessment and Adaptive MCMC
3. Simon Lunagomez*, Postdoctoral Fellow, Statistics Dept, Harvard University, A Geometric Approach for Inference on Graphical Models
4. Kai Mao*, Associate Vice President, Citigroup, Nonparametric Bayesian Models for Supervised Dimension Reduction and Regression
5. Jarad B. Niemi*, Assistant Professor, Iowa State University, Bayesian Analysis and Computational Methods for Dynamic Modeling
6. James G. Scott*, Assistant Professor, University of Texas at Austin, Bayesian Adjustment for Multiplicity

2008:

1. Joyee Ghosh*, Assistant Professor, University of Iowa, Efficient Bayesian Computation and Model Search in Linear Hierarchical Models
2. Robin Mitra*, Lecturer, University of Southampton, UK, Bayesian Methods to Impute Missing Covariates for Causal Inference and Model Selection
3. Zhi Ouyang*, Researcher, Google, CA, Bayesian Additive Regression Kernels
4. Natesh S Pillai*, Post Doctoral Research Associate University of Warwick, Levy Random Measures: Posterior Consistency and Applications
5. Gavino Puggioni*, Postdoc, Emory University, Using Data Augmentation and Stochastic Differential Equations in Spatio Temporal Modeling
6. Huiyan Sang*, Assistant Professor, Texas A&M University, Extreme Value Modeling For Space-Time Data With Meteorological Applications
7. Eric A Vance*, Assistant Research Professor, Virginia Tech, Department of Statistics, Statistical Methods for Dynamic Network Data
8. Liang Zhang*, Research Scientist, Yahoo Research, CA, Statistical Computation For Model Space Exploration In High-Dimensional Problems

2007:

1. 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
2. Satkartar Kinney*, Research Statistician, National Institute of Statistical Sciences, NC, Model selection and multivariate inference using data multiply imputed for disclosure limitation and nonresponse
3. Scotland C Leman*, Assistant Professor, Virginia Polytechnic Institute and State University, On Evolutionary Theory, Inference, and Simulation: A Geneological Perspective
4. Fei Liu*, Research Statistician, Statistical Analysis & Forecasting Business Analytics & Mathematical Sciences IBM Thomas J. Watson Research Center, Bayesian Functional Data Analysis for Computer Model Validation
5. Abel Rodriguez*, Assistant Professor,University of California, Santa Cruz, Some Advances in Bayesian Nonparametric Modeling
6. Haige Shen*, Principal Biometrician, Novartis Shanghai, China, Bayesian Analysis in Cancer Pathway Studies and Probabilistic Pathway Annotation
7. Dawn Woodard*, Assistant Professor, Cornell University, Conditions for Rapid and Torpid Mixing of Parallel and Simulated Tempering on Multimodel Distributions

2006:

1. Carlos M Carvalho*, Associate Professor Statistics, The University of Texas McCombs School of Business, Structure and Sparsity in High-Dimensional Multivariate Analysis
2. J. A. Duan*, Assistant Professor, McCombs School of Business, University of Texas at Austin, Space Time Modelling Using Bayesian Nonparametric and Differential Equation Approaches
3. Leanna L House*, Assistant Professor, Virginia Tech, Dept of Statistics, Nonparametric Bayesian Models in Expression Proteomic Applications
4. 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"
5. JingQin Luo*, Instructor, Division of Biostatistics, School of medicine, Washingtion Univeristy, St. Louis., Model Selection, Covariance Selection and Bayes Classification via Shrinkage Estimators
6. Chong Tu*, Vice President, PIMCO, Bayesian Nonparametric Modeling Using Levy Process Priors with Applications for Function Estimation, Time Series Modeling and Spatio-Temporal Modeling
7. Yuhong Wu*, Statistical Arbitrage Researcher, Highbridge Capital Management, NY, "Bayesian Tree Models."
8. Gangqiang Xia*, Executive Director, Morgan Stanley, NYC, On Large Sample Size Issues in Spatial Statistics

2005:

1. Chris Hans*, Associate Professor, Ohio State University, Regression Model Search and Uncertainty With Many Predictors
2. Christine N Kohnen*, Ph.D. Alumni, Using Multiply Imputed, Synthetic Data to Facilitate Data Sharing
3. Ming Liao*, Senior Manager, The Nielsen Company (AC Nielsen), Stamford, CT, Bayesian Models and Machine Learning with Gene Expression Analysis Applications

2004:

1. Laura Gunn*, Associate Professor and Associate Dean of Biostatistics, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Bayesian Order Restricted Methods with Biomedical Applications
2. Ana G. Rappold*, NRC Research Associate, EPA, RTP, NC, Using Expert Knowledge when the Data Model is Unknown with an Application In Modeling the Mixed Layer of the Atlantic Ocean
3. Fabio Rigat*, Head of Biostatistics, Novartis Vaccines & Diagnostics, Siena, Italy, Beta Stacy Survival Models and Bayesian Weibull Survival Trees

2003:

1. Kate Calder*, Associate Professor, Department of Statistics, Ohio State University, Exploring Latent Structure in Spatial Temporal Processes Using Process Convolutions
2. 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
3. German Molina*, Emerging Markets Quantitative Trading, Tudor Capital, Epsom, UK, Bayesian Stochastic Computation, with Application to Model Selection and Inverse Problems
4. Enrique ter Horst*, Assistant Professor of Finance, Euromed School of Management, Marseille, France, A Lévy generalization of compound Poisson processes in Finance: Theory and applications

2002:

1. Sining Chen*, Member of Technical Staff, Dept. Statistics and Learning, Bell Labs, A Deformation Model for Images
2. Marco A.R. Ferreira*, Associate Professor of Statistics, University of Missouri, Columbia, MO, Bayesian Multi-scale Modelling
3. Chris Holloman*, Director, Statistical Consulting Service, The Ohio State University, Parameter Estimation Algorithms for Computationally Intensive Spatial Problems
4. Rui Paulo*, Assistant professor, Department of Mathematics, ISEG, Technical University of Lisbon, Lisbon, Portugal, Problems on the Bayesian/Frequentist Interface
5. Stephen Ponisciak*, Embedded Researcher, Wisconsin Center for Education Research, University of Wisconsin, Bayesian Analysis of Teacher Effectiveness
6. Kathy R. Zhou*, Assistant Professor, Department of Public Health, Weill Medical College of Cornell University, Classification of Missense Mutations of Disease Genes

2001:

1. Maria De Iorio*, Lecturer in Statistics, Imperial College, London, England, Markov Random Fields at Multiple Resolutions and an ANOVA Model for Dependent Random Measures

2000:

1. Heidi Ashih*, House Officer, Cambridge Health Alliance and Clinical Fellow in Psychiatry, Harvard Medical School, Joint Estimation of Mammographic Sensitivity and Tumor Growth
2. Daniel Gudbjartsson*, Statistician, deCODE Genetics, Iceland, Multipoint Linkage Analysis based on Allele Sharing Models
3. John Kern*, Associate Professor, Duquesne University, Bayesian Process-Convolution Approaches to Specifying Spatial Dependence Structure
4. Jane Liu*, Statistical Finance Analyst, UBS Warburg, LLC, CT, Bayesian Time Series: Analysis Methods Using Simulation-Based Computation
5. Hedibert F. Lopes*, Associate Professor of Econometrics and Statistics, Booth School of Business, University of Chicago, Bayesian Analysis in Latent Factor and Longitudinal Models
6. 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

1999:

1. Lurdes Inoue*, Associate Professor, Department of Biostatistics, University of Washington, Bayesian Design and Analysis of clinical Experiments
2. 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
3. Susan Paddock*, Senior Statistician and Head of the RAND Statistics Group, Randomized Polya Trees: Bayesian Nonparametrics for Multivariate Data Analysis
4. Jonathan Stroud*, Assistant Professor of Statistics, George Washington University, Bayesian Analysis of Nonlinear Time-Series Models
5. Jenise Swall*, Associate Professor, Dept. of Statistical Sciences and Operations Research, Virginia Commonwealth University, Nonstationary Spatial Modeling using a Process Convolution Approach

1998:

1. Omar Aguilar*, Chief Investment Office at Charles Schwab Investment Management in San Francisco, California, Latent Structure in Bayesian Multivariate Time Series Models
2. Gabriel Huerta*, Associate Professor and Regents Lecturer and Department of Mathematics and Statistics, University of New Mexico, Bayesian Analysis of Latent Structure in Time Series Models
3. Colin McCulloch*, GE Global Research, High-level Image Understanding Through Bayesian Hierarchical Models
4. Raquel Prado*, Professor, Department of Applied Mathematics & Statistics, University of California-Santa Cruz, Latent Structure in Non-Stationary Time Series
5. Luca Tardella*, Associate Professor, Dept. Di Statistica, University of Roma I "La Sapienza", Rome, Italy, Some Topics in Bayesian Methodology

1997:

1. Yang Chen*, Quantitative Analyst/Statistician, Risk Management, AIG International, NY, NY, Bayesian Time Series: Financial Models and Spectral Analysis
2. Frank Li*, President, Spectrum-Prime Solutions, L.P., Time Deformation Models: Theory and Practice
3. Giovanni Petris*, Associate Professor, Department of Mathematical Sciences, University of Arkansas, Bayesian Analysis of Long Memory Time Series
4. Claudia Tebaldi*, Research Scientist, Climate Central, Princeton, NJ, Bayesian Analysis of Network Flow Problems

1996:

1. Heather D. Sasinowska*, Vice President and COO, INCOGEN, Inc, Prediction Using Orthogonalized Model Mixing
2. Fusheng Su*, Sears Financial, Chicago, IL, Limit Theorems on Deviation Probabilities with Applications in Two-Armed Clinical Trials

1995:

1. Alyson Wilson*, Research Staff Member IDA Science and Technology Policy Institute, Statistical Models for Shapes and Deformations

1994:

1. Ram Gopalan*, President and Consultant, Data Infoworks Inc., Sunnyvale, CA, Bayesian Multiple Comparisons Using Dirichlet Process Priors
2. Chengchang Li*, Statistician, Ameritech, Hoffman Estates, IL, Comparing Survival Data For Two Therapies: Nonhierarchical and Hierarchical Bayesian Approaches
3. Jiang Qian*, Senior Statistician II, Center of Clinical Assessment, Abbott Laboratories, Abbott Park, IL, A Bayesian Weibull Survival Model
4. Fabrizio Ruggeri*, Research Director, CNR-IMATI, Milano, Italy, Bayesian Nonparametrics, Robustness and Fréchet Classes

1993:

1. Guoliang Cao*, Director of Statistics, Takeda Global R&D Center, IL, Bayesian Nonparametric Mixture Modeling
2. Zhengning Lin*, Senior Manager of Biostatistics, Aventis, Bridgewater, NJ