Renfei Tan 「谈任飞」

I am a fourth-year PhD candidate at MIT, affiliated with the Institute for Data, Systems, and Society (IDSS) and the Laboratory for Information and Decision Systems (LIDS). My advisor is David Simchi-Levi.

Before joining MIT, I acquired my Bachelor's degree majoring in Theoretical and Applied Mechanics, at the College of Engineering, Peking University.

My research studies multi-agent environments where learning, incentives, and strategic behavior interact. Specifically, I focus on two aspects: 

• Mechanism design in multi-agent systems, where I study how to design incentive-compatible and efficient mechanism in unknown environments;

• Agentic LLMs for operations & decision-making, where I study how to improve LLM's decision-making abilities through learning techniques.