**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