2020 PhD Alumni
Anwesha Bhattacharyya
Advisor: Yves Atchade
Dissertation: An Approach to Large-Scake Quasi-Bayesian Inference With Spike-and-Slab Priors
Last Known Position: Quantitative Analytics Specialist, Wells Fargo
April Cho
Advisor: Gongjun Xu
Dissertation: Gaussian Variational Estimation for Multidimensional Item Response Theory
Last Known Position: Data Scientist/Research Analyst, CNA Corporation
Joseph Dickens
Advisor: Kerby Shedden
Dissertation: Contributions to mediation analysis and first principles modeling for mechanistic statistical analysis
Last Known Position: Unknown
Robyn Ferg
Advisor: Johann Gagnon-Bartsch
Dissertation: Consumer Confidence and Political Polarization using Twitter
Last Known Position: Research Associate, University of Michigan/US Census Bureau
Zheng Gao
Advisor: Stillian Stoev
Dissertation: On the Fundamental Limits in High-dimensional Testing and Inference
Last Known Position: Unknown
Jack Goetz
Advisor: Ambuj Tewari
Dissertation: Active Learning in Non-parametric and Federated Settings
Last Known Position: Research Scientist, Facebook Inc.
Aritra Guha
Advisor: Long Nguyen
Dissertation: Inference and interpretability in latent variable modeling
Last Known Position: Post-Doctoral Fellow, Duke University
Yumu Liu
Advisor: Ji Zhu
Dissertation: Statistical Methods for Networks with Node Covariates
Last Known Position: Data Scientist, Afiniti
Brook Luers
Advisor: Kerby Shedden
Dissertation: Improved Performance and Stability of the Knockoff Filter and an Approach to Mixed Effects Modeling of Sequentially Randomized Trials
Last Known Position: Data Scientist, Google
Yuan Sun
Advisor: Xuming He
Dissertation: On Rank-Based Inference for Quantile Regression
Last Known Position: Unknown
Hyesun Yoo
Advisor: Ji Zhu
Dissertation: Statistical Tools for Directed Networks and Bipartite Networks
Last Known Position: Data Scientist, Google
