Research
My research is organized around three connected directions: AI agents in the economy, organizations, and science; foundation models and learning for operational systems; and experiments, markets, and games.
Experiments, Markets, and Games
I study decisions that learn from people and markets: experiments whose traffic is scarce, platforms whose users respond, and markets where firms, algorithms, and users learn and react strategically. The questions include adaptive experimentation, learning from human feedback, data-driven market operations, dynamic competition, and the design of rules and information in large-population systems.