2019 PhD Alumni
Shrijita Bhattacharya
Advisors: George Michailidis and Stilian Stoev
Dissertation: Outlier Identification in Spatio-Temporal Processes
Last Known Position: Assistant Professor, Michigan State University Department of Statistics, East Lansing, MI
Chun-Chen Tu
Advisors: Naisyin Wang and Florence Forbes
Dissertation: Enhancing Prediction Efficacy with High-Dimensional Input Via Structural Mixture Modeling of Local Linear Mappings
Last Known Position: Applied Scientist, Microsoft
Yanzhen Deng
Advisor: Tailen Hsing
Dissertation: Group Sparsity in Regression and PCA
Last Known Position: Google
Alexander Giessing
Advisor: Xuming He
Dissertation: On High-Dimensional Misspecified Quantile Regression
Last Known Position: Postdoctoral Fellow, Princeton
Gregory Hunt
Advisor: Johann Gagnon-Bartsch
Dissertation: Cell Type Deconvolution and Transformation of Microenvironment Microarray Data
Last Known Position: Assistant Professor of Mathematics, College of William and Mary, Williamsburg, VA
Yura Kim
Advisor: Liza Levina
Dissertation: Statistical Tools for Samples of Weighted Networks with Applications to Neuroimaging
Last Known Position: Visiting Associate, Food and Drug Administration (FDA)
Peng Liao
Advisors: Susan Murphy and Ambuj Tewari
Dissertation: Just-In-Time Adaptive Interventions: Experiment, Inference and Online Learning
Last Known Position: Postdoctoral Fellow, Harvard University
Boang Liu
Advisor: Ji Zhu
Dissertation: Statistical Learning for Networks with Node Features
Last Known Position: Google
Timothy NeCamp
Advisors: Ed Ionides and Zhenke Wu
Dissertation: Design and Analysis of Sequential Randomized Trials with Applications to Mental Health and Online Education
Last Known Position: Data Science Consultant
Jesús Arroyo
Advisor: Liza Levina
Dissertation: Topics in Network Analysis with Applications to Brain Connectomics
Last Known Position: Postdoctoral Fellow, Johns Hopkins Center for Imaging Science, Baltimore, MD
Jinqi Shen
Advisor: Tailen Hsing
Dissertation: Design and Analysis of Sequential Randomized Trials with Applications to Mental Health and Online Education
Last Known Position: Data Scientist, Airbnb
Jingshen Wang
Advisor: Xuming He
Dissertation: Debiased Post Selection Inference
Last Known Position: Assistant Professor, University of California-Berkeley
Wenyi Wu
Advisor: Ji Zhu
Dissertation: Scalable Classification Methods with Applications to Healthcare Claims and Automotive Dealership Data
Last Known Position: Amazon
Ruofei Zhao
Advisor: Yuekai Sun
Dissertation: Convergence and Consistency Results in Spectral Clustering and Gaussian Mixture Models
Last Known Position: Quantitative Researcher, proprietary trading firm
2018 PhD Alumni
Teal Guidici
Advisors: Charles Burant and George Michailidis
Dissertation: Methods for Utilizing Co-expression Networks for Biological Insight
Last Known Position: Machine Intelligence Scientist, Draper, Cambridge, MA
Jun Guo
Advisor: Yves Atchade
Dissertation: Some Contributions to High Dimensional Mixed Effects Logistic Regression Models
Last Known Position: Quantitative Associate, Wells Fargo Bank
Michael Hornstein
Advisors: Kerby Shedden and Shuheng Zhou
Dissertation: Joint Mean and Covariance Modeling of Matrix-Variate Data
Last Known Position: Google
Tianxi Li
Advisors: Liza Levina and Ji Zhu
Dissertation: Statistical Tools for Network Data: Prediction and Resampling
Last Known Position: Assistant Professor, University of Virginia, Charlottesville, VA
Jiahe Lin
Advisors: George Michailidis and Moulinath Banerjee
Dissertation: Modeling and Estimating Multi-Block Interactions for High-Dimensional Stationary Time Series
Last Known Position: Goldman Sachs
Joon Ha Park
Advisor: Ed Ionides
Dissertation: Computational Inference Algorithms for Spatiotemporal Processes and Other Complex Models
Last Known Position: Postdoctoral Researcher, Boston University, Boston, MA
Mikhail Yurochkin
Advisor: Long Nguyen
Dissertation: Geometric Inference in Bayesian Hierarchical Models with Applications to Topic Modeling
Last Known Position: Researcher, IBM, Cambridge, MA
2017 Statistics PhD Alumni
Nhat Ho
Advisors: Long Nguyen and Ya'acov Ritov
Dissertation: Parameter estimation and multilevel clustering with mixture and hierarchical models
Last Known Position: Postdoctoral Fellow UC Berkeley, Berkeley, California
Hossein Keshavarz
Advisor: Long Nguyen
Dissertation: Detection and Estimation in Gaussian Random Fields: Minimax Theory and Efficient Algorithms
Last Known Position: Senior Researcher, General Motors, Warren, MI
Karen Nielsen
Advisor: Richard Gonzalez
Dissertation: Selecting and Evaluating Models to Reflect Underlying Scientific Principles: Using Basis Sets to Parameterize Hypotheses
Last Known Position: Postdoctoral Research Fellow, University of Michigan, Ann Arbor, MI
Cheng Qian
Advisor: Ji Zhu
Dissertation: Some Advances on Modeling High-Dimensional Data with Complex Structures
Last Known Position:
Kazem Shirani
Advisors: Ambuj Tewari and George Michailidis
Dissertation: Non-asymptotic Adaptive Control of Linear-Quadratic Systems
Last Known Position: Postdoctoral Research Associate, University of Florida, Gainesville, Florida
Kam Chung Wong
Advisor: Ambuj Tewari
Dissertation: Lasso Guarantees for Dependent Data
Last Known Position: Advisor Services Senior, Ernst & Young
Yun Jhong Wu
Advisors: Liza Levina and Ji Zhu
Dissertation: Link prediction and denoising in networks
Last Known Position: Quantitative Developer, Akuna Capital, Chicago, IL
Ziheng Yang
Advisors: George Michailidis and Ji Zhu
Dissertation: Integrative Analysis Methods for Biological Problems Using Data Reduction Approaches
Last Known Position: Senior Analytics Scientist, GM Financial, Ann Arbor, MI
2016 Statistics PhD Alumni
Sougata Chaudhuri
Advisor: Ambuj Tewari
Dissertation: Online Learning to Rank with Feedback on Top Ranked Items
Last Known Position: Applied Scientist II, A9.com, Palo Alto, CA
Joshua Errickson
Advisor: Ben Hansen
Dissertation: Two-stage Regression for Treatment Effect Estimation
Last Known Position: CSCAR Consultant, University of Michigan, Ann Arbor, MI
Can Le
Advisors: Elizaveta Levina and Roman Vershynin
Dissertation: Estimating Community Structure in Networks by Spectral Methods
Last Known Position: Assistant Professor, UC Davis, Davis, CA
Huitian Lei
Advisors: Susan Murphy and Ambuj Tewari
Dissertation: An Online Actor Critic Algorithm and a Statistical Decision Procedure for Personalizing Intervention
Last Known Position: Research Scientist, Amazon, Cambridge, MA
Naveen Narisetty
Advisor: Xuming He and Vijay Nair
Dissertation: Statistical Analysis of Complex Data: Bayesian Model Selection and Functional Data Depth
Last Known Position: Assistant Professor, University of Illinois at Urbana–Champaign, IL
Dao Nguyen
Advisor: Edward Ionides
Dissertation: Iterated Filtering and Smoothing with Application to Infectious Disease Models
Last Known Position: Assistant Professor of Mathematics, University of Mississippi, Oxford, MS
Seyoung Park
Advisors: Xuming He and Shuheng Zhou
Dissertation: Selected Problems for High-Dimensional Data - Quantile and Errors-in-Variables Regressions
Last Known Position: Assistant Professor, Sungkyunkwan University, Seoul, Korea
Yingchuan Wang
Advisor: Xuming He
Dissertation: Logistic-Normal Mixtures with Heterogeneous Components and High Dimensional Covariates
Last Known Position: Data Strategist, BP, Houston, TX
Tianshuang Wu
Advisor: Susan Murphy
Dissertation: Set Valued Dynamic Treatment Regimes
Last Known Position: Manager, AbbVie, North Chicago, IL
Chia Chye Yee
Advisor: Yves Atchade
Dissertation: Topics in High-Dimensional Statistics and the Analysis of Large Hyperspectral Images
Last Known Position: Quantitative Finance Analyst, Bank of America, Charlotte, NC
Yiwei Zhang
Advisor: Ji Zhu
Dissertation: Regularization and Optimization Methods for High-Dimensional Data
Last Known Position: Associate Principle Scientist, Merck, Houston, TX
Yuan Zhang
Advisors: Liza Levina and Ji Zhu
Dissertation: Statistical network analysis: beyond block models
Last Known Position: Assistant Professor, The Ohio State University, Columbus, Ohio
2015 Statistics PhD Alumni
Pramita Bagchi
Advisor: Moulinath Banerjee and Stilian Stoev
Dissertation: Non-standard problems under short and long range dependence
Last Known Position: Assistant Professor, George Mason University, Fairfax, VA
James Henderson
Advisor: George Michailidis and Kerby Shedden
Dissertation: Methods for Reconstructing Networks with Incomplete Information
Last Known Position: CSCAR Consultant, The University of Michigan, Ann Arbor, MI
Xi Lu
Advisor: Susan Murphy
Dissertation: Evaluation and Comparison of Dynamic Treatment Regimes: Methods andChallenges
Last Known Position: Quantitative Analyst, Google, Mountain View, CA
Jing Ma
Advisors: George Michailidis and Kerby Shedden
Dissertation: Estimation and Inference for High-Dimensional Gaussian Graphical Modelswith Structural Constraints
Last Known Position: Assistant Member, Fred Hutchinson Cancer Research Center, Seattle, WA
Sandipan Roy
Advisors: George Michailidis and Yves Atchade
Dissertation: Statistical Inference and Computational Methods for Large High-DimensionalData with Network Structure
Last Known Position: Lecturer, University of Bath, Bath, UK
Donggeng Xia
Advisors: George Michailidis and Moulinath Banerjee
Dissertation: Measuring influence and topic dependent interactions in social media networksbased on a counting process modeling framework
Last Known Position: Data and Applied Scientist II, Microsoft, Bellvue, WA
Robert A Yuen
Advisor: Stilian A. Stoev
Dissertation: Topics on estimation, prediction and bounding risk for multivariate extremes
Last Known Position: Director of Advanced Analytics and Modeling, Liberty Mutual Surety, Seattle, WA
Xiang Zhou
Advisor: Yu Xie
Dissertation: Three essays on economic inequality and social mobility
Last Known Position: Postdoctoral Research Associate, Princeton University, Princeton, NJ
2014 Statistics PhD Alumni
Sumanta Basu
Advisor: George Michailidis
Dissertation: Modeling and Estimation of High-dimensional Vector Autoregressions (VAR)
Last Known Position: Assistant Professor, Cornell University, Ithica, NY
Thomas Brown
Advisor: Tailen Hsing
Dissertation: Analyzing Spatial Processes Locally
Last Known Position: Senior Scientist, Exponent Data, Detroit, MI
Nirupam Chakrabarty
Advisor: George Michailidis and Moulinath Banerjee
Dissertation: Semi-parametric Estimation of Target Location in Wireless Sensor Network
Last Known Position: Vice President of Credit Risk Modeling and Analytics, Wells Fargo, San Francisco, CA
Ming-Chi Hsu
Advisor: Kerby Shedden
Dissertation: Contributions to Effect Size Analysis with Large Scale Data
Last Known Position: Unknown
Juan Shen
Advisor: Xuming He
Dissertation: Model-based Inference for Subgroup Analysis
Last Known Position: Assistant Professor, University of Fudan, Shanghai, China
Zhanyang Zhang
Advisor: Vijay Nair and Ji Zhu
Dissertation: Predictive Models and Calibration Analysis in Large-Scale Computational Studies
Last Known Position: Data Science and AI Leader, Uber, New York, NY
2013 Statistics PhD Alumni
Jie Cheng
Advisor: Ji Zhu and Liza Levina
Dissertation: Mixed and Covariate Dependent Graphical Models
Last Known Position: Staff Data Scientist, Google
Atul Mallik
Advisor: Moulinath Banerjee and Michael Woodroofe
Dissertation: Topics on threshold Estimation, Multistage Methods and Random Fields
Last Known Position: Data Scientist, Google
Shawn Mankad
Advisor: George Michailidis
Dissertation: Statistical Techniques for the Exploratory Analysis of Structured Three-way and Dynamic Network Data
Last Known Position: Assistant Professor of Operations, Technology and Information Management, Cornell University, Ithica, NY
Ashin Mukherjee
Advisor: Ji Zhu and Naisyin Wang
Dissertation: Topics on Reduced Rank Methods for Multivariate Regression
Last Known Position: Data Scientist, Quantifind, Menlo Park, CA
Yeo Jung (Tess) Park
Advisor: Kerby Shedden
Dissertation: New Methods for Discovering Hidden Dependence and for Assessing the Possible Influence of Unobserved Variables
Last Known Position: Vice President, JP Morgan Chase & Co., Wilmington, DE
Adam Sales
Advisor: Ben Hansen
Dissertation: New Perspectives on Regression Adjustment in Causal Inference, with Applications to Educational Program Evaluation
Last Known Position: Director of Statistics, Measurement, and Research design Techniques, and Lead Statistician, University of Texas, Austin, TX
Juan Zhang
Advisor: Kerby Shedden
Dissertation: Statistical Analysis for Genomic Studies Involving Measurement Error, Multiple Populations, and Limited Sample Size
Last Known Position: Post-Doctoral Researcher, Dalian Commodity Exchange, Dalian, China
2012 Statistics PhD Alumni
Kohinoor Dasgupta
Advisor: Vijay Nair, Stilian Stoev and Xuanlong Nguyen
Dissertation: Inference for Neuronal Networks using Temporal and Graphical Models
Last Known Position: Associate Director Biostatistics, Novartis, Pradesh, India
Toshiya Hoshikawa
Advisor: Tailen Hsing and Kerby Shedden
Dissertation: Contributions to Functional Data Analysis and High-Throughput Screening Assay Analysis
Last Known Position: Business Analyst, Google: Japan, Tokyo, Japan
Cen Guo
Advisor: Tailen Hsing and Long Nguyen
Dissertation: Machine Learning Methods for Magnetic Resonance Imaging Analysis
Last Known Position: Tech Lead Manager (Data Science / Machine Learning), Uber, San Francisco, CA
Yun Li
Advisor: Naisyin Wang and Ji Zhu
Dissertation: Statistical Parameter Estimation for Ordinary Differential Equations
Last Known Position: Senior Data Scientist, PubMatic, Inc., San Fransisco, CA
Fangyi Liu
Advisor: Kerby Shedden
Dissertation: Contribution to Statistical Image Analysis for High Content Screening
Last Known Position: Manager-Analytics, Discover, Houston, TX
Olga Marchenko
Advisor: Robert Keener
Dissertation: Joint Models and Tests for Time to Tumor Recurrence and Disease Stage in Oncology Clinical Trials
Last Known Position: Head; Therapeutic Area Statistics of Pulmonology, Anti-Infectives, Ophthalmology, and Women's Health; Morristown, New Jersey
Joel Vaughan
Advisor: George Michailidis and Stilian Stoev
Dissertation: Problems in Spatio-Temporal Modelling, Kriging, and Prediction of Computer Network Traffic
Last Known Position: Assistant Professor, Cornell University, SC Johnson College of Business, Ithaca, NY
Yizao Wang
Advisor: Stilian Stoev
Dissertation: Topics on Max-stable Processes and the Central Limit Theorem
Last Known Position: Associate Professor, University of Cincinnati, Cincinnati, OH
Zhen (Adelle) Wang
Advisor: Edward Ionides
Dissertation: Topics in Time Series Analysis with Macroeconomic Applications
Last Known Position: Principle Statistician, dMed Biopharmaceutical Co., Ltd., Chaoyand District, Beijing, China
Sahar Zangeneh
Advisor: Robert Keener and Roderick Little
Dissertation: Model-Based Methods for Robust Finite Population Inference in the Presence of External Information
Last Known Position: Staff Scientist, Fred Hutchinson Cancer Research Center, Seattle, WA
Yunpeng Zhao
Advisor: Liza Levina and Ji Zhu
Dissertation: Statistical Inference for some Problems in Network Analysis
Last Known Position: Assistant Professor, Arizona State University, Glendale, AZ
2011 Statistics PhD Alumni
Jian Guo
Advisor: Liza Levina and Ji Zhu
Dissertation: Topics in High-Dimensional Unsupervised Learning
Last Known Position: Founder and CEO, DeepX Asset Management Inc., Beijing City, China
Carrie Hosman
Advisor: Ben Hansen
Dissertation: Methods to Control for Overt and Hidden Biases in Comparative Studies
Last Known Position: Visiting Lecturer, Moutn Holyoke College, South Hadley, MA
Eric Laber
Advisor: Susan Murphy
Dissertation: Adaptive Confidence Intervals for Non-Smooth Functionals
Last Known Position: Associate Professor, North Carolina State University, Raleigh, NC
Runlong Tang
Advisor: Moulinath Banerjee and George Michailidis
Dissertation: Adaptive and Multistage Procedures for Inference on Monotone Regression Functions in Designed Studies and Observed Data Settings
Last Known Position: Statistician
Jing Wang
Advisor: Yves Atchade and Anocha Aribarg
Dissertation: Approximate Sampling for Doubly-intractable Distributions and Modeling Choice Interdependence in a Social Network
Last Known Position: Tech Lead Manager and Staff Data Scientist, Google, San Francisco, CA
Yang Yang
Advisor: Vijay Nair and Yves Atchade
Dissertation: Contributions to the Analysis of Multistate and Degradation Data
Last Known Position: Senior Staff Software Engineer & Data Scientist, LinkedIn, Mountain View, CA
Hao Zhou
Advisor: George Michailidis
Dissertation: Methods and Tools for Visual Analytics
Last Known Position: Director of Data Science, Salesforce, Redwood City, CA
2010 Statistics PhD Alumni
Anindya Bhadra
Advisor: Edward Ionides
Dissertation: Time Series Analysis for Nonlinear Dynamical Systems with Applications to Modeling of Infectious Diseases
Last Known Position: Associate Professor, Purdue University, West Lafayette, IN
Jason Goldstick
Advisor: Kerby Shedden
Dissertation: Contributions to Modeling the Dynamic Association Structure in Longitudinal Data Sets
Last Known Position: Research Assistant Professor, University of Michigan Health Systems, Ann Arbor, MI
Min Qian
Advisor: Susan Murphy
Dissertation: Model Selection and l1 Penalization for Individualized Treatment Rules
Last Known Position: Assistant Professor, Columbia University, New York, NY
Robert C Reiner, Jr
Advisor: Vijay Nair and Anna Amirdjanova
Dissertation: Parameter Estimation in Several Classes of Non-Markovian Random Processes Defined by Stochastic Differential Equations
Last Known Position: Assistant Professor, University of Washington, Seattle, WA
Adam Rothman
Advisor: Liza Levina and Ji Zhu
Dissertation: Sparse Estimation of High-Dimensional Covariance Matrices
Last Known Position: Associate Professor, University of Minnesota, Minneapolis, MN
Ali Shojaie
Advisor: George Michailidis
Dissertation: Estimation and Inference in High Dimensional Networks with Applications to Biological Systems
Last Known Position: Associate Professor, University of Washington, Seattle, WA
