Research interests

My research focuses on learning and market design in digital marketplaces. I develop algorithms for pricing, ranking, recommendation, and resource allocation, and study how market rules shape participants’ behavior. A recurring question is how to learn from market interactions when participants have their own objectives and may act strategically.

My work addresses these questions in e-commerce, online advertising, and emissions markets, using tools from online learning, optimization, and game theory. Recent projects examine how AI changes market interactions, including automated bidding, recommendations by AI agents, and incentives for creating the human-generated content used to train AI models.

I am affiliated with the MIT Operations Research Center and the MIT–IBM Watson AI Lab. Before joining MIT, I was a postdoctoral researcher at Google Research in New York. I have also held visiting research roles at Google and Meta.