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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