Research supported by the Eric and Wendy Schmidt Center PhD Fellowship and the Apple Scholarship. Organized workshops at NeurIPS2025 and ICML2025. Published papers in top conferences such as NeurIPS and ICML.
Research Experience
Was a research intern at Bytedance, Microsoft Research, and Apple.
Education
Obtained a Bachelor’s degree in Mathematics from Peking University, where he worked with Zaiwen Wen, Mengdi Wang, and Le Cong; currently a Ph.D. student at MIT EECS, advised by Caroline Uhler.
Background
A Ph.D. student in MIT EECS, focusing on establishing statistical and algorithmic foundations for discovery and decision-making within systems created by underlying causal rules. Specifically, developing tools to understand causal relationships from data, model and extrapolate to predict the effects of interventions, and select informative interventions for experimental design.
Miscellany
Presented at the Women in Data Science (WiDS) conference.