Michael Caosun

I am a PhD candidate in the Information Technology group at MIT Sloan, advised by Sinan Aral.

My research focuses on AI adoption and its consequences for workers, firms, markets, and negotiations. I study how the feedback loops between AI systems and the people who use them can produce unintended outcomes. I use formal models, simulations, and large-scale experiments with LLM-based agents.

Before MIT, I studied mathematics and economics at the University of Chicago. Outside of research, I like learning about history and playing strategic board games.