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Current PhD Advisees
- Shijie Wang, PhD candidate (expected 2024)
Dissertation title: New Deep Learning Approaches to Classical Statistical Problems
- Zile Zhao, PhD candidate (expected 2024)
Dissertation topic: Bayesian methods for survival analysis and causal inference
- Sijian Fan, PhD candidate (expected 2025)
Dissertation topic: integrating side information in matrix completion and regression models
Other Student Collaborators
(* I am not the primary supervisor of these students)
- Xin Zhi (PhD candidate in Statistics at the University of South Carolina)
Research project: Bayesian additive regression trees (BART) for survival analysis
- Liyan Xiong (PhD student in Biostatistics at the University of South Carolina)
Research project: statistical methods for computational drug repositioning
- Dayuan Wang (PhD student in Biostatistics at the University of Florida)
Research project: statistical methods for computational drug repositioning
Alumni
- Qingyang Liu (graduate student collaborator, ’22-’23)
Research project: new approaches to modal regression and Gaussian process regression
First position: Postdoctoral Fellow, Texas A&M University
- Anja Zgodic (graduate student collaborator, ’22-’23)
Research project: scalable Bayesian methodology for linear mixed effects models
First position: Research Data Scientist, Lubrizol
- Hung-Tien Huang (undergraduate student collaborator, ’22-’23)
Research project: explainable reinforcement learning with deep generative models
First position: PhD student in Computer Science, University of North Carolina-Chapel Hill