Ph.D. Alumni

2017

Christine Chai

Dissertation Title
Statistical Issues in Quantifying Text Mining Performance

Xi Chen

  • Software Engineer
    LinkedIn
    June 2017-Present
Dissertation Title
Bayesian Dynamic Modeling for Streaming Network Data

Nicole Dalzell

  • Assistant Teaching Professor
    Wake Forest University, Statistics Department
    2017-Present
Dissertation Title
Bayesian Approaches to File Linking with Faulty Data

Ken McAlinn

  • Postdoctoral Scholar
    University of Chicago, Statistics Department
    2017-Present
Dissertation Title
Dynamic Modeling & Bayesian Predictive Synthesis

Shinichiro Shirota

  • Postdoctoral Scholar
    UCLA, Biostatistics Department
    2017-Present
Dissertation Title
Bayesian Modeling & Computation for Complex Spatial Point Patterns

2016

Shih-Han "Sean" Chang

  • Applied Scientist II
    Microsoft Corporation, AI and Research
    July 2017-Present
Dissertation Title
Interfaces Between Bayesian and Frequentist Multiple Testing

Christopher Glynn

  • Assistant Professor
    University of New Hampshire
    2017-Present
Dissertation Title
Advances in Dynamic Modeling and Computation for Count Data

Mengyang "Michael" Gu

  • Assistant Research Professor, Department of Applied Mathematics and Statistics
    Johns Hopkins University
    2016-Present
Dissertation Title
Robust Uncertainty Quantification and Scalable Computation for Computer Models with Massive Output

Kaoru Irie

  • Assistant Professor of Economics
    Tokyo University
    2016-Present
Dissertation Title
Bayesian Emulation for Sequential Modeling, Inference and Decision Analysis

James E. Johndrow

  • Stein Fellow, Department of Statistics
    Stanford University
    2016-Present
Dissertation Title
Bayesian Inference in Large-Scale Problems

David McClure

  • Statistical Consultant
    Deloitte Risk Analytics Department
    2016-Present
Dissertation Title
Relaxations of Differential Privacy & Risk/Utility Evaluations of Synthetic Data & Fidelity Measures

Tracy Schifeling

  • Data Scientist
    Craftsy, Denver, Colorado
    2017-Present
Dissertation Title
Combining Information from Multiple Sources in Bayesian Modeling

Xiangyu Wang

  • Software Engineer
    Google, Inc
    2016-Present
Dissertation Title
Distributed Feature Selection in Large N and Large P Regression Problems

Lan "Sophia" Wei

  • Director of Marketing Science
    In4mation Insights
    2016 - Present
Dissertation Title
Methods for Imputing Missing Values and Synthesizing Confidential Values for Continuous and Magnitude Data

2015

Jingchen "Monika" Hu

  • Assistant Professor
    Vassar College
    2015-Present
Dissertation Title
Dirichlet Process Mixture Models for Nested Categorical Data

Nicholas W.D. Jarrett

  • Research Scientist
    84.51
Dissertation Title
Nonlinear Prediction in Credit Forecasting and Cloud Computing Deployment Optimization

Tsuyoshi Kunihama

  • Assistant Professor, Economics Department
    Nagoya University
Dissertation Title
Nonparametric Bayes Analysis of Social Science Data

Shaan Qamar

  • Research Analyst
    Google Inc
Dissertation Title
Topics in Bayesian Computation for Streaming Data & Structured Sparse Regression

Jacopo Soriano

  • Quantitative Analyst
    Google Inc
    2015-Present
Dissertation Title
Bayesian Methods for Two-Sample Comparison

Brian S. St. Thomas

  • Data Scientist
    Spotify
Dissertation Title
Linear Subspace and Manifold Learning Via Extrinsic Geometry

Douglas N. VanDerwerken

  • Assistant Professor
    U.S. Naval Academy
Dissertation Title
Monitoring and Improving Markov Chain Monte Carlo Convergence by Partitioning

Yi "Zoey" Zhao

  • Quantitative Researcher
    Citadel, LLC
    2015-Present
Dissertation Title
Bayesian Multiregression Dyamic Models with Applications in Finance & Business

2014

Timothy C. Au

  • Quantitative Analyst
    Google Inc
Dissertation Title
Topics in Computational Advertising

Mary Beth Broadbent

  • Quantitative Analyst
    Google Inc
    2016-Present
Dissertation Title
Semiparametric Bayesian Regression with Applications in Astronomy

Daniel P. Heard

  • Director of Risk Management
    USAA Federal Savings Bank
    2014-Present
Dissertation Title
Statistical Inference Utilizing Agent Based Models

Thomas J. Leininger

  • Senior Statistician
    Capital One
Dissertation Title
Bayesian Analysis of Spatial Point Patterns

Thais V. Paiva

  • Assistant Professor of Statistics
    Federal University of Minas Gerais (UFMG)
    March 2016
Dissertation Title
Multiple Imputation Methods for Nonignorable Nonresponse, Adaptive Survey Design, and Dissemination of Synthetic Geographies

Maria A. Terres

  • Senior Quantitative Researcher
    The Climate Corporation
    2014-Present
Dissertation Title
Multivariate Spatial Process Gradients with Environmental Applications

Yun Yang

  • Postdoctoral Fellow
    UC Berkeley
Dissertation Title
Nonparametric Bayes for Big Data

2013

Anjishnu Banerjee

  • Assistant Professor of Biostatistics
    Medical College of Wisconsin
    2014-Present
  • Research Scientist, Global Inventory Platform
    Amazon, LLC
    2013-2014
Dissertation Title
Scalable Nonparametric Bayes Learning

Fernando V. Bonassi

  • Statistician
    Google - YouTube Data Science
Dissertation Title
Approximate Bayesian Computation for Complex Dynamic Systems

Christopher Challis

  • Data Science Manager
    Adobe
    2017 - Present
  • Data Science Director
    Huntington National Bank
    2015-2017
  • Digital Fraud Detection VP
    JP Morgan Chase
    2015-2015
  • Marketing Analysis Senior Manager Vice President
    JP Morgan Chase
    2013-2015
Dissertation Title
Bayesian Structural Phylogenetics

Yingbo Li

  • Assistant Professor of Statistics, Deparment of Mathematical Sciences
    Clemson University
Dissertation Title
Bayesian Hierarchical Models for Model Choice

Silvia Montagna

  • Lecturer in Statistics, School of Mathematics, Statistics and Actuarial Science
    University of Kent
    2017-Present
  • Postdoctoral Fellow in Statistics
    University of Warwick
    2013-2017
Dissertation Title
On Bayesian Analyses of Functional Regression, Correlated Functional Data and Non-Homogeneous Computer Models

Jared Murray

  • Visiting Assistant Professor, Department of Statistics
    Carnegie Mellon University
Dissertation Title
Some Recent Advances in Non- and Semiparametric Bayesian Modeling with Copulas, Mixtures, and Latent Variables

Francesca Petralia

  • Postdoctoral Fellow in Genetics & Genomics
    Mount Sinai Hospital
Dissertation Title
Structured Bayesian Learning Through Mixture Models

Fangpo Wang

  • Data Scientist
    Adobe Systems Inc
Dissertation Title
Space and Space-Time Modeling of Directional Data

Jianyu Wang

  • Visiting Assistant Professor of Statistics
    Indiana University
Dissertation Title
Bayesian Modeling and Adaptive Monte Carlo with Geophysics Applications

2012

Anirban Bhattacharya

  • Assistant Professor, Department of Statistics
    Texas A&M University
Dissertation Title
Bayesian Semi-Parametric Factor Models for High-Dimensional Data

Andrew Cron

  • Senior Research Scientist
    84.51
Dissertation Title
Mixture Modeling, Sparse Covariance Estimation and Parallel Computing in Bayesian Analysis

Kai Cui

  • Vice President
    Point72 Asset Management (fka SAC Capital Advisors)
Dissertation Title
Bayesian Modeling and Computation for Mixed Data

Lynn Lin

  • Assistant Professor of Statistics
    Pennsylvania State University
Dissertation Title
Bayesian Variable Selection in Clustering and Hierarchical Mixture Modeling

Danilo Lopes

  • Department of Statistics
    Federal University of Sao Carlos
Dissertation Title
Development and Implementation of Bayesian Computer Model Emulators

Jouchi Nakajima

  • Economist & Deputy Director of Global Economic Research
    Bank of Japan
Dissertation Title
Bayesian Analysis of Latent Threshold Models

Debdeep Pati

  • Assistant Professor, Department of Statistics
    Florida State University
Dissertation Title
Bayesian Nonparametric Modeling and Theory for Complex Data

Yajuan Si

  • Assistant Professor, Department of Biostatistics & Medical Informatics and Population Health Services
    University of Wisconsin
Dissertation Title
Nonparametric Bayesian Methods for Multiple Imputation of Large Scale Incomplete Categorical Data in Panel Studies

Xiaojing Wang

  • Assistant Professor in Department of Statistics
    University of Connecticut
Dissertation Title
Bayesian Modeling Using Latent Structures

2011

P. Richard Hahn

  • Assistant Professor of Econometrics and Statistics
    Chicago Booth Business School
Dissertation Title
Probability Models for Targeted Borrowing of Information

Matt Heaton

  • Assistant Professor, Dept of Statistics
    Brigham Young University
Dissertation Title
Kernel Averaged Predictors for Space and Space-Time Processes

Vinicius D. Mayrink

  • Assistant Professor
    Federal University of Minas Gerais (UFMG)
Dissertation Title
Factor Models to Describe Linear and Non-linear Structure in High Dimensional Gene Expression Data

Chiranjit Mukherjee

  • Senior Data Scientist
    Netflix - Science & Algorithms
Dissertation Title
Bayesian Modelling and Computation in Dynamic and Spatial Systems

Minghui Shi

  • Quantitative Analyst
    Google Inc
Dissertation Title
Bayesian Sparse Learning for High Dimensional Data

2010

Avishek Chakraborty

  • Postdoctoral Fellow, Department of Statistics
    Texas A&M University
Dissertation Title
Modeling Point Patterns, Measurement Error and Abundance for Exploring Species Distributions

Simone C. Gray

  • Research Statistician
    Environmental Protection Agency
Dissertation Title
Spatial Modeling of Measurement Error in Exposure to Air Pollution

Kristian C. Lum

  • Lead Statistician
    Human Rights Data Analysis Group
    2015-Present
Dissertation Title
Bayesian Spatial Quantile Regression

Melanie Wilson Quintana

  • Statistical Scientist
    Berry Consultants
Dissertation Title
Bayesian Model Uncertainty and Prior Choice with Applications to Genetic Association Studies

Scott L. Schwartz

  • Research Associate - Department of Integrative Biology
    University of Texas at Austin
Dissertation Title
Bayesian Mixture Modeling Approaches for Intermediate Variables and Causal Inference

Hao Wang

  • Quantitative Researcher
    Citadel Capital Management
Dissertation Title
Bayesian multi- and matrix- variate modelling: Graphical models and time series

Hongxia Yang

  • Senior Staff Data Scientist & Director
    Alibaba Group
Dissertation Title
Nonparametric Bayes Models for High-Dimensional and Sparse Data

2009

Floyd A Bullard

  • Instructor of Mathematics
    North Carolina School of Science and Mathematics
    1999
Dissertation Title
Exoplanet Detection: A Comparison of Three Statistics or How Long Should It Take To Find a Small Planet?

Chunlin Ji

  • Vice President for Research & Education
    Kuang-Chi Insitute of Advanced Technology
Dissertation Title
Advances in Bayesian Modelling and Computation: Spatio-temporal Processes, Model Assessment and Adaptive MCMC

Simon Lunagomez

  • Lecturer
    Lancaster University
    March 2017 - Present
Dissertation Title
A Geometric Approach for Inference on Graphical Models

Kai Mao

  • Associate Vice President
    Citigroup
Dissertation Title
Nonparametric Bayesian Models for Supervised Dimension Reduction and Regression

Jarad B. Niemi

  • Assistant Professor
    Iowa State University
Dissertation Title
Bayesian Analysis and Computational Methods for Dynamic Modeling

James G. Scott

  • Associate Professor of Statistics
    University of Texas, McCombs School of Business
Dissertation Title
Bayesian Adjustment for Multiplicity

2008

Joyee Ghosh

  • Assistant Professor
    University of Iowa
Dissertation Title
Efficient Bayesian Computation and Model Search in Linear Hierarchical Models

Robin Mitra

  • Lecturer
    University of Southampton, UK
Dissertation Title
Bayesian Methods to Impute Missing Covariates for Causal Inference and Model Selection

Zhi Ouyang

  • Senior Analyst
    Google Inc
Dissertation Title
Bayesian Additive Regression Kernels

Natesh S Pillai

  • Associate Professor
    Harvard University
Dissertation Title
Levy Random Measures: Posterior Consistency and Applications

Gavino Puggioni

  • Assistant Professor of Statistics
    University of Rhode Island
Dissertation Title
Using Data Augmentation and Stochastic Differential Equations in Spatio Temporal Modeling

Huiyan Sang

  • Assistant Professor
    Texas A&M University
Dissertation Title
Extreme Value Modeling For Space-Time Data With Meteorological Applications

Eric A Vance

  • Associate Professor and Director
    LISA (Laboratory for Interdisciplinary Statistical Analysis)
    2016 - Present
  • Assistant Research Professor & Director of LISA (Laboratory for Interdisciplinary Statistical Analysis)
    Virginia Tech, Department of Statistics
    2008-2016
Dissertation Title
Statistical Methods for Dynamic Network Data

Liang Zhang

  • Senior Applied Researcher
    LinkedIn
Dissertation Title
Statistical Computation For Model Space Exploration In High-Dimensional Problems

2007

Jen-Hwa Chu

  • Assistant Professor
    Yale School of Medicine
    2015-Present
  • Instructor in Medicine
    Channing Library, Brigham and Women's Hospital, Harvard Medical School
    2011-2015
Dissertation Title
Bayesian Function Estimation Using Overcomplete Dictionaries with Application in Genomics

Satkartar Kinney

  • Research Statistician
    RTI International
    2015-Present
Dissertation Title
Model selection and multivariate inference using data multiply imputed for disclosure limitation and nonresponse

Scotland C Leman

  • Associate Professor
    Virginia Polytechnic Institute and State University
Dissertation Title
On Evolutionary Theory, Inference, and Simulation: A Geneological Perspective

Fei Liu

  • Associate Professor
    Queens College, CUNY
Dissertation Title
Bayesian Functional Data Analysis for Computer Model Validation

Abel Rodriguez

  • Associate Professor
    University of California, Santa Cruz
Dissertation Title
Some Advances in Bayesian Nonparametric Modeling

Haige Shen

  • Principal Biometrician
    Novartis Shanghai, China
Dissertation Title
Bayesian Analysis in Cancer Pathway Studies and Probabilistic Pathway Annotation

Dawn Woodard

  • Head of Marketplace Optimization Data Science
    Uber Technologies, Inc
Dissertation Title
Conditions for Rapid and Torpid Mixing of Parallel and Simulated Tempering on Multimodal Distributions

2006

Carlos M Carvalho

  • Associate Professor Statistics
    University of Texas, McCombs School of Business
Dissertation Title
Structure and Sparsity in High-Dimensional Multivariate Analysis

Jason A. Duan

  • Assistant Professor
    University of Texas, McCombs School of Business
Dissertation Title
Bayesian Nonparametric and Differential Equation Approaches

Leanna L House

  • Associate Professor
    Virginia Tech, Department of Statistics
Dissertation Title
Nonparametric Bayesian Models in Expression Proteomic Applications

Joseph E Lucas

  • Associate Director, Health Systems Operations; Adjunct Associate Research Professor in Statistical Science
    Duke University & Duke University Medical Center
    2014-Present
Dissertation Title
Sparsity Modeling for High Dimensional Systems: Applications in Genomics and Structural Biology

JingQuin Luo

  • Intructor, Divison of Biostatistics, School of Medicine
    Washington University, St. Louis
Dissertation Title
Model Selection, Covariance Selection and Bayes Classification via Shrinkage Estimators

Chong Tu

  • Vice President
    PIMCO, NYC
Dissertation Title
Bayesian Nonparametric Modeling Using Levy Process Priors with Applications for Function Estimation, Time Series Modeling and Spatio-Temporal Modeling

Yuhong Wu

  • Senior Quantitative Researcher in Statistical Arbitrage Trading
Dissertation Title
Bayesian Tree Models

Gangqiang Xia

  • Head, Mortgage Modeling Group
    Morgan Stanley, NYC
Dissertation Title
On Large Sample Size Issues in Spatial Statistics

2005

Chris Hans

  • Associate Professor
    Ohio State University
Dissertation Title
Regression Model Search and Uncertainty With Many Predictors

Christine N Kohnen

  • Assistant Professor of Statistics
    University of Richmond
Dissertation Title
Using Multiply Imputed, Synthetic Data to Facilitate Data Sharing

Ming Liao

  • Head of Digital and Consumer Engagement Marketing
    Unilever, Shanghai
Dissertation Title
Bayesian Models and Machine Learning with Gene Expression Analysis Applications

2004

Laura Gunn

  • Associate Professor of Public Health in Biostatistics, Stetson University & Honorary Research Fellow, School of Public Health, Imperial College London
    Stetson University
Dissertation Title
Bayesian Order Restricted Methods with Biomedical Applications

Ana G. Rappold

  • Research Statistician, Human Studies Division
    EPA
Dissertation Title
Using Expert Knowledge when the Data Model is Unknown with an Application In Modeling the Mixed Layer of the Atlantic Ocean

Fabio Rigat

  • Director, Statistical Innovation Group; Associate Fellow, Department of Statistics
    GSK Pharmaceutical R&D; University of Warwick, UK
Dissertation Title
Beta Stacy Survival Models and Bayesian Weibull Survival Trees

2003

Catherine (Kate) Calder

  • Professor, Department of Statistics
    The Ohio State University
    2003-Present
Dissertation Title
Exploring Latent Structure in Spatial Temporal Processes Using Process Convolutions

Enrique ter Horst

  • Professor of Finance, School of Business
    Colegio de Estudios Superiores de Administracion (CESA), Bogota, Columbia
Dissertation Title
A Lévy generalization of compound Poisson processes in Finance: Theory and applications

Merrill Liechty

  • Assistant Professor, Department of Decision Sciences
    LeBow College of Business, Drexel University
Dissertation Title
Covariance Matrices and Skewness: Modeling and Applications in Finance

German Molina

  • Quantitative Trading
    Idalion Capital, London UK & DeLand FLA, US
Dissertation Title
Bayesian Stochastic Computation, with Application to Model Selection and Inverse Problems

2002

Sining Chen

  • Member of Technical Staff, Statistics and Learning Research Department
    Bell Laboratories, Alcatel-Lucent
Dissertation Title
A Deformation Model for Images

Marco Ferreira

  • Associate Professor, Director of Graduate Programs
    Virginia Tech
    2014-Present
Dissertation Title
Bayesian Multi-scale Modelling

Christopher Holloman

  • Chief Data Scientist, ICC & Auxiliary Professor, Department of Statistics; Director, Statistical Consulting Service
    The Ohio State University
Dissertation Title
Parameter Estimation Algorithms for Computationally Intensive Spatial Problems

Rui Paulo

  • Assistant Professor, Department of Mathematics
    Lisboa School of Economics and Management, Universidade de Lisboa
    2006-Present
Dissertation Title
Problems on the Bayesian/Frequentist Interface

Stephen Michael Ponisciak

  • Research Associate, Alliance of Catholic Education
    University of Notre Dame
    2015-Present
Dissertation Title
Bayesian Analysis of Teacher Effectiveness

Xi Kathy Zhou

  • Associate Professor, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research
    Weill Medical College of Cornell University
Dissertation Title
Classification of Missense Mutations of Disease Genes

2001

Maria De Iorio

  • Reader
    UCL, Dept of Statistical Science
Dissertation Title
Markov Random Fields at Multiple Resolutions and an ANOVA Model for Dependent Random Measures

2000

Heidi Ashih

  • IS Programmer/Analyst II
    Brigham and Women's Hospital
    February 2017 - Present
Dissertation Title
Joint Estimation of Mammographic Sensitivity and Tumor Growth

Daniel Gudbjartsson

  • Statistician
    deCODE Genetics, Iceland
Dissertation Title
Multipoint Linkage Analysis based on Allele Sharing Models

John Kern

  • Associate Professor and Department Chair
    Duquesne University
    2000-Present
Dissertation Title
Bayesian Process-Convolution Approaches to Specifying Spatial Dependence Structure

Jane Liu

  • Statistical Finance Analyst
    UBS Warburg, LLC, CT
Dissertation Title
Bayesian Time Series: Analysis Methods Using Simulation-Based Computation

Hedibert F. Lopes

  • Full Professor of Statistics and Econometrics, Head of Data and Decision Sciences Group
    Insper Institute of Education and Research, Sao Paulo, Brazil
    2013-Present
Dissertation Title
Bayesian Analysis in Latent Factor and Longitudinal Models

Viridiana Lourdes

  • Manager Data Sciences Group
    Esurance - San Francisco
Dissertation Title
Bayesian Modeling and Analysis of Multivariate Time Series, with Applications in Finance and Health Policy

1999

Lurdes Inoue

  • Professor, Department of Biostatistics
    University of Washington
Dissertation Title
Bayesian Design and Analysis of Clinical Experiments

Jacob Laading

  • Chief Market Risk Officer
    DnB NOR Markets, Oslo, Norway
    2010-Present
Dissertation Title
Practical Methodology for Inclusion of Modality-Specific Modifications in a Hierarchical Bayesian Deformation Model

Susan Paddock

  • Senior Statistician
    Rand Corporation
Dissertation Title
Randomized Polya Trees: Bayesian Nonparametrics for Multivariate Data Analysis

Jonathan Stroud

  • Associate Professor of Statistics, Operation & Information Mgmt. Area, McDonough School of Business
    Georgetown University, McDonough School of Business
    2015-Present
Dissertation Title
Bayesian Analysis of Nonlinear Time-Series Models

Jenise L. Swall

  • Associate Professor, Department of Statistical Science and Operations Research
    Virginia Commonwealth University
Dissertation Title
Nonstationary Spatial Modeling using a Process Convolution Approach

1998

Omar Aguilar

  • Chief Investment Officer
    Charles Schwab Investment Management in San Francisco, California
Dissertation Title
Latent Structure in Bayesian Multivariate Time Series Models

Gabriel Huerta

  • Professor, Department of Mathematics and Statistics
    University of New Mexico
    2013-Present
Dissertation Title
Bayesian Analysis of Latent Structure in Time Series Models

Colin McCulloch

  • Quantitative Analyst
    Google Inc
Dissertation Title
High-level Image Understanding Through Bayesian Hierarchical Models

Raquel Prado

  • Professor, Department of Applied Mathematics & Statistics
    University of California - Santa Cruz, CA
Dissertation Title
Latent Structure in Non-Stationary Time Series

Luca Tardella

  • Associate Professor, Dept. Di Statistica
    University of Roma I "La Sapienza", Rome, Italy
Dissertation Title
Some Topics in Bayesian Methodology

1997

Yang Chen

  • Quantitative Analyst/Statistician, Risk Management
    AIG International, NY, NY
Dissertation Title
Bayesian Time Series: Financial Models and Spectral Analysis

Frank Li

  • President
    Panton Inc.
Dissertation Title
Time Deformation Models: Theory and Practice

Giovanni Petris

  • Associate Professor, Department of Mathematical Sciences
    University of Arkansas
Dissertation Title
Bayesian Analysis of Long Memory Time Series

Claudia Tebaldi

  • Project Scientist
    National Center for Atmospheric Research (NCAR)
    2013-Present
  • Research Fellow
    Climate Central, Inc
Dissertation Title
Bayesian Analysis of Network Flow Problems

1996

Heather D. Sasinowska

  • Vice President and COO
    INCOGEN, Inc
Dissertation Title
Prediction Using Orthogonalized Model Mixing

Fusheng Su

  • HUAYI Clinical Research
    Jiaxing
Dissertation Title
Limit Theorems on Deviation Probabilities with Applications in Two-Armed Clinical Trials

1995

Alyson Wilson

  • Associate Professor of Statistics
    North Carolina State University
Dissertation Title
Statistical Models for Shapes and Deformations

1994

Ram Gopalan

  • President and Consultant
    Data Infoworks, Inc., Sunnyvale, CA
Dissertation Title
Bayesian Multiple Comparisons Using Dirichlet Process Priors

Chengchang Li

  • Vice President
    HSBC
Dissertation Title
Comparing Survival Data For Two Therapies: Nonhierarchical and Hierarchical Bayesian Approaches

Jiang Qian

  • Director, Data and Statistical Science
    AbbVie Inc
Dissertation Title
A Bayesian Weibull Survival Model

Fabrizio Ruggeri

  • Research Director
    CNR-IMATI
Dissertation Title
Bayesian Nonparametrics, Robustness and Fréchet Classes

1993

Guoliang Charlie Cao

  • Senior Director of Statistics
    Takeda Development Center Americas
Dissertation Title
Bayesian Nonparametric Mixture Modeling

Zhengning Lin

  • Vice President, Head of Biometrics
    Ascendis Pharma, Inc.
    2017-Present
  • Executive Director of Biostatistics
    BioMarin, San Rafael, CA
    2015-2016
Dissertation Title
Statistical Methods for Combining Historical and Current Clinical Trial Data