Students

I am not accepting new PhD advisees during the 2022-2023 academic year. If you are a current PhD student who is interested in working with me during the 2022-2023 school year, please first find a different PhD supervisor and then reach out to me about potential collaborations.

Current PhD Advisees

• Zile Zhao, PhD candidate (in progress)
  Dissertation topic: distributed statistical inference for large survival data


• Shijie Wang, PhD candidate (in progress)
  Dissertation topic: deep learning for conditional density estimation and mixture models


• Sijian Fan, PhD candidate (in progress)
  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 Gaussian process regression


• 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


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