Principal Investigator

Ray Bai, Assistant Professor of Statistics

PhD in Statistics, University of Florida
MS in Applied Mathematics, University of Massachusetts Amherst
BA in Economics and Government, Cornell University
CV, Google Scholar

PhD Advisees

Current

  • Shijie Wang, PhD candidate (expected graduation 2024)
    Dissertation title: New Deep Learning Approaches to Classical Statistical Problems
    Winner of James D. Lynch Graduate Student Research Award

  • Zile Zhao, PhD candidate (expected graduation 2024)
    Dissertation title: Methods and Applications for Bayesian Semiparametric Survival Analysis

  • Sijian Fan, PhD candidate (expected graduation 2025)
    Dissertation topic: matrix completion methods with side information

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
    Winner of Outstanding Graduate Student in Academics Award
    First position: Postdoctoral Fellow, 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
    Winner of ENAR Distinguished Student Paper Award
    First position: Research Data Scientist, Lubrizol

  • Hung-Tien Huang (BS in Computer Science, University of South Carolina, graduated 2023)
    Research project: explainable reinforcement learning with deep generative models
    First position: PhD student in Computer Science, University of North Carolina-Chapel Hill

Interested in working with me? More information here.