Hyunin Lee

Hyunin Lee

Hyunin Lee

Ph.D at UC Berkeley

Contact: hyunin(at)berkeley(dot)edu

Research Interests: Reinforcment Learning, Recursive Self-Improvement

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About

I am Hyunin Lee, a final-year Ph.D. candidate at UC Berkeley. I work on the recursive self-improvement of AI systems, aiming to solve problems that go beyond human supervision. Check my recent work: MASS and RHI. During my Ph.D., my research background has been in reinforcement learning, and I have been working with Somayeh Sojoudi. I have worked at Meta (ads ranking), OpenAI (PaperBench), and Sakana AI (multi-agent) on topics spanning LLM agents and reinforcement learning. Prior to joining Berkeley, I received my B.S. from Seoul National University.

Besides my research, I am interested in AI education šŸ‘©šŸ»ā€šŸ’». I co-founded and currently advise OUTTA.

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