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Statistics PhD Alumni

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

 

Xuanlong Nguyen
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: Vice President, Wells Fargo Securities, Charlotte, NC

 

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: Vice President, Head of Advisory Analytics, Quintiles, Raleigh-Durham, NC

 

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