Research Group - Statistics and Machine Learning

Overview

This group develop new methods to extract structure, uncover patterns, and support reliable decision-making in modern data settings. Their work forms the mathematical and computational foundation behind many advances in science, technology, and policy.

Statistical Methodology 

  • Ning Hao
  • Selena Niu
  • Helen Zhang

Bayesian Statistics

  • Xueying Tang
  • Henry Scharf
  • Lifeng Lin

Reinforcement Learning

  • Kwang-Sung Jun
  • Chicheng Zhang
  • Jason Pacheco
  • Lei Cao

Artificial Intelligence

  • Kobus Barnard
  • Clayton Morrison
  • Yong Ge 

Select Publications