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: distributed statistical inference for large survival data

  • Sijian Fan, PhD candidate (expected 2025)
    Dissertation topic: probabilistic models for recommender systems

Other Student Collaborators

(* I am not the primary supervisor of these students)

  • Qingyang Liu (PhD candidate in Statistics at the University of South Carolina)
    Research project: new approaches to modal regression and Gaussian process regression

  • Hung-Tien Huang (Undergraduate student in Computer Science at the University of South Carolina)
    Research project: explainable reinforcement learning with deep generative models

  • Anja Zgodic (PhD student in Biostatistics at the University of South Carolina)
    Research project: scalable Bayesian methodology for linear mixed effects models

  • 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