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;
Strategic AI Agents, where I study how to improve the decision-making and reasoning capabilities for AI (LLM) agents in different operations systems.
rftan [at] mit [dot] edu | LinkedIn