Qinglong Tian

Dr. Tian is an Assistant Professor in the Department of Statistics and Actuarial Science. His current research focuses on transfer learning, particularly addressing challenges related to distributional shift, out-of-distribution detection, and label noise. He approaches these problems through the lens of mixture models and density ratios, which are fundamental concepts in statistics.