PhD Students

• Kai Deng (Ph.D. 2023; Data and Applied Scientist at Microsoft)
  Thesis: Topics on Mixture models and discriminant analysis
  Kai Deng received the R. A. Bradley Award for the Best PhD Dissertation in the department during the year 2022–2023.

• Sung Hee Park (Ph.D. 2023; Postdoc Fellow at Washington University in St. Louis)
  Thesis: Subspace Learning Approaches to Association Analysis for Multi-modal Data

• Jing Zeng (Ph.D. 2022; Tenure-track Associate Professor, University of Science and Technology of China)
  Thesis (co-advised with Q. Mai): High-dimensional methods for sufficient dimension reduction, discriminant analysis, and tensor data
  Jing Zeng received the R. A. Bradley Award for the Best PhD Dissertation in the department during the year 2021–2022.

• Ning Wang (Ph.D. 2022; Tenure-track Assistant Professor, Beijing Normal University, Zhuhai)
  Thesis: Dimension Reduction and Regression for Tensor Data and Mixture Models
  

• Yuqing Pan (Ph.D. 2019; Senior Applied Scientist at Etsy)
  Thesis (co-advised with Q. Mai): High-dimensional statistical methods for tensor data and efficient algorithms
  Yuqing Pan received the R. A. Bradley Award for the Best PhD Dissertation in the department during the year 2018–2019.

• Wenjing Wang (Ph.D. 2019; Data and Applied Scientist at Microsoft)
  Thesis (co-advised with M. Tao): Envelopes, subspace learning and applications

Classes

• STA 5208 Linear Statistical Models
  

• STA 5934 Tensor Data Analysis
  

• STA 5167: Statistics in Application II: Applied Linear Regression.
  

• STA 5934 Envelopes and Subspace Learning
  

• STA 4322/5325: Mathematical Statistics
  

• STA 4321/5323: Introductory Mathematical Statistics
  

• STA 4442/5440: Introductory Probability
  

• Class Websites: please visit the CANVAS to find course materials.