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PhD Students
-
Fanghua Chen, PhD candidate in Statistics, 2028 (expected), University of South Carolina (co-advising with Ting Fung Ma)
Dissertation topic: deep learning theory and methods for dependent and complex data
- Sijian Fan, PhD in Statistics, 2026, University of South Carolina
Dissertation title: Statistical Learning for Binary Data with Applications in Bioinformatics
First position: Postdoctoral Fellow, Department of Psychiatry, Columbia University
- Zile Zhao, PhD in Statistics, 2025, University of South Carolina
Dissertation title: Methods and Applications for Bayesian Semiparametric Survival Analysis
First position: Postdoctoral Fellow, Moffitt Cancer Center
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Shijie Wang, PhD in Statistics, 2024, University of South Carolina
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
Undergraduate and Masters Students
- Leah Wood, Honors Thesis student, BS in Statistics, 2025, University of South Carolina
Honors Thesis: Spatiotemporal Modeling of Maternal Mortality in South Carolina, 2018–2023
First position: Masters student in Biostatistics, Duke University
- Emily Sitnik, Summer REU student, BS in Mathematics and Statistics, 2026 (expected), University of South Carolina
Research project: Bayesian spatial modeling for disease mapping and causal inference
- Mark Ritchie, Summer REU student, BS in Mathematics, 2026, University of South Carolina
Research project: Bayesian spatial modeling for disease mapping and causal inference
- Evan Funderburg, Summer REU student, BS candidate in Computer Science and Data Science, 2027 (expected), University of South Carolina
Research project: Bayesian spatial modeling for disease mapping and causal inference
Other Student Collaborators*
(* I am/was not the primary supervisor of these students)
- Peter Olejua, PhD candidate in Biostatistics, 2027 (expected), University of South Carolina
Research project: variational inference for Bayesian high-dimensional regression
- Liyan Xiong, PhD candidate in Biostatistics, 2027 (expected), University of South Carolina
Research project: statistical methods for computational drug repositioning
- Dayuan Wang, PhD candidate in Biostatistics, 2027 (expected), University of Florida
Research project: statistical methods for computational drug repositioning
- Xin Zhi, PhD in Statistics, 2025, University of South Carolina
Research project: Bayesian additive regression trees (BART) for survival analysis
First position: Senior Scientist, Merck
- Qingyang Liu, PhD in Statistics, 2023, University of South Carolina
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, 2023, University of South Carolina
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, 2023, University of South Carolina
Research project: explainable reinforcement learning with deep generative models
First position: PhD student in Computer Science, University of North Carolina-Chapel Hill