Hojoon Lee is an AI research scientist and third-year PhD candidate at KAIST specializing in reinforcement learning for dexterous manipulation and vision-based agents. Over eight years in industry and research, he has shipped RL systems for games and robotics at organizations including SonyAI, Meta, KRAFTON, and Holiday Robotics. His work spans building open-source RL frameworks, post-training LLM reinforcement for chess, and vision-based RL agents for Gran Turismo 7, demonstrating a blend of applied research and production engineering. He frequently bridges academic rigor with hands-on system implementation, advised by Jaegul Choo and maintaining an active project portfolio at joonleesky.github.io. Based in Seongnam-si, South Korea, Hojoon is notable for moving quickly between high-impact short-term industry research projects and longer-term PhD work, bringing practical results into academic inquiry.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Korea University
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Korea Advanced Institute of Science and Technology
Contributions:38 commits, 16 PRs, 36 pushes in 1 year
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Hojoon Lee - AI Research Scientist at Holiday Robotics