About

Hello there! I’m Kehang.

I obtained my Ph.D. at Harvard University, jointly advised by Prof. John Horton from MIT Sloan’s IT group and Prof. David Parkes from Harvard’s EconCS group. I had the pleasure to intern at Google DeepMind and Amazon Science.

I study AI agents as proxies for human decision-making and how individuals collaborate with these agents in economic environments.

My research has two primary strands.

• First, I examine the capabilities, benefits, and trade-offs of deploying large language models (LLMs) as autonomous agents. I develop novel AI tools and run large-scale economic experiments to understand when and how LLM agents replicate, augment, or diverge from human behavior.
• Second, I use LLM-based simulations to uncover new patterns in human decision-making and to design more effective interventions, market mechanisms, and organizational policies. By combining computational modeling with experimental economics, my work aims to inform the responsible deployment of AI in markets and institutions.