Hi! I’m a third-year PhD student in Computer Science at Harvard University, where I am fortunate to be advised by Prof. Milind Tambe and Prof. Yiling Chen. My research interests lie at the intersection of machine learning, theoretical computer science, and economics. In particular, I am interested in investigating how LLMs reshape human decision-making and drive the evolution of information dynamics within social systems, as well as leveraging game theory and incentive design to develop robust, trustworthy, and socially aligned AI agents.

I obtained my bachelor’s degree at Peking University, where I was fortunate to be advised by Prof. Xiaotie Deng and Prof. Yuqing Kong. Additionally, I had a wonderful summer research experience at CMU, working with Prof. Steven Wu, Prof. Haifeng Xu (UChicago), and Prof. Shuran Zheng (Tsinghua University).

Selected Publications

• Learning to Persuade a Biased Receiver
  Yuqi Pan, Sadie Zhao, Milind Tambe, Yiling Chen
  NeurIPS 2026
• Adaptive Multi-Round Allocation with Stochastic Arrivals
  Yuqi Pan*, Davin Choo*, Haichuan Wang, Milind Tambe, Alastair Van Heerden, Cheryl Johnson
  ICML 2026
• Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order Information
  Rui Ai*, Yuqi Pan*, David Simichi-Levi, Milind Tambe, Haifeng Xu
  ICML 2026
• Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing
  Davin Choo*, Yuqi Pan*, Tonghan Wang, Milind Tambe, Alastair van Heerden, Cheryl Johnson
  NeurIPS 2025
• Differentially Private Bayesian Persuasion
  Yuqi Pan, Zhiwei Steven Wu, Haifeng Xu, Shuran Zheng
  The Web Conference (WWW) 2025 (Oral)
• Robust Decision Aggregation with Second-order Information
  Yuqi Pan, Zhaohua Chen, Yuqing Kong
  The Web Conference (WWW) 2024

* indicates equal contribution.

See all publications →

Last updated: Sep 2026