Published multiple papers including 'Generalized Fitted Q-Iteration with Clustered Data', 'Counterfactually Fair Offline Reinforcement Learning via Sequential Data Preprocessing', and others. Participated in several research projects and presented at international conferences such as ICML and NPJ Digital Medicine.
Research Experience
Currently working with Dr. Zhenke Wu (UMich) and Dr. Chengchun Shi from the London School of Economics and Political Science (LSE).
Education
Ph.D. student in the Department of Biostatistics at the University of Michigan; Master's degree from the University of Michigan; Advisors: Dr. Zhenke Wu (UMich) and Dr. Chengchun Shi (LSE); Bachelor's degree in bioinformatics from Shanghai Jiao Tong University.
Background
Research interests center around the development and practice of statistical methods within the field of interventional mobile health. Current focus is on reinforcement learning (RL), causal inference, fair ML, and large language models (LLMs).
Miscellany
Served as a reviewer for multiple international conferences (e.g., NeurIPS, ICLR, ICML) and journals (e.g., Journal of the Royal Statistical Society Series B).