Principal Investigator
Ray Bai, Assistant Professor of Statistics
PhD in Statistics, University of FloridaMS in Applied Mathematics, University of Massachusetts Amherst
BA in Economics and Government, Cornell University
CV, Google Scholar
PhD Advisees
Current
- Zile Zhao, PhD candidate, 2020-present
Dissertation title: Methods and Applications for Bayesian Semiparametric Survival Analysis - Sijian Fan, PhD candidate, 2021-present
Dissertation title: Methods and Applications for Statistical Matrix Completion - Fanghua Chen, PhD candidate, 2024-present (co-advising with Ting Fung Ma)
Dissertation topic: deep learning theory and methods for dependent and complex data
Alumni
- Shijie Wang, PhD in Statistics (graduated 2024)
Dissertation title: New Deep Learning Approaches to Classical Statistical Problems
First position: Applied Scientist, Gauss Labs
Winner of James D. Lynch Graduate Student Research Award
Other Student Collaborators*
(* I am/was not the primary supervisor of these students)Current
- 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 candidate in Biostatistics at the University of South Carolina)
Research project: statistical methods for computational drug repositioning - Dayuan Wang (PhD candidate in Biostatistics at the University of Florida)
Research project: statistical methods for computational drug repositioning
Alumni
- Qingyang Liu (PhD in Statistics, University of South Carolina, graduated 2023)
Research project: new approaches to modal regression and Gaussian process regression
First position: Postdoctoral Fellow in Statistics, Texas A&M University - Anja Zgodic (PhD in Biostatistics, University of South Carolina, graduated 2023)
Research project: scalable Bayesian methodology for high-dimensional regression models
First position: Research Data Scientist, Lubrizol
Winner of ENAR Distinguished Student Paper Award - Hung-Tien Huang (BS in Computer Science, University of South Carolina, graduated 2023)
Research project: explainable reinforcement learning with deep learning models
First position: PhD student in Computer Science, University of North Carolina-Chapel Hill