Published multiple papers, including but not limited to: 'Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order Information', 'Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing'. Involved in research projects spanning machine learning, game theory, and more.
Research Experience
Had a summer research experience at CMU, working with Prof. Steven Wu, Prof. Haifeng Xu (UChicago), and Prof. Shuran Zheng (Tsinghua University).
Education
PhD: Harvard University, advised by Prof. Milind Tambe and Prof. Yiling Chen; Bachelor's degree: Peking University, advised by Prof. Xiaotie Deng and Prof. Yuqing Kong.
Background
Research interests: at the intersection of machine learning, theoretical computer science, and economics; applying economic principles to design safer and more effective AI systems, as well as studying how computational systems influence behavior, decision-making, and information flow in social platforms and markets.
Miscellany
Served as a Teaching Assistant at Peking University from Fall 2023 to Spring 2023, teaching courses such as Discrete Mathematics and Structures, and Study and Practice on Topics of Frontier Computing.