About me

I am a Ph.D. student at Carnegie Mellon University, advised by Prof. Shixiang Zhu. My research focuses on uncertainty quantification, particularly conformal prediction, and human-AI collaboration for decision-making.

I received a B.S. in Statistics and a B.S. in Applied Mathematics from Renmin University of China. I earned an M.S. in Statistics from the University of Wisconsin–Madison, where I worked with Prof. Kris Sankaran and Prof. Keith Levin on machine learning interpretability and statistical network analysis. I also hold an M.S. in Statistics from the University of Southern California, where I worked with Prof. Paromita Dubey on change point detection for metric space data.