Joongkyu Lee is a Postdoctoral Research Scholar in the Department of Industrial Engineering and Operations Research at Columbia University, working with Prof. Garud Iyengar and Prof. Assaf Zeevi.

He received his Ph.D. and M.S. in Data Science from Seoul National University, where he was advised by Prof. Min-hwan Oh. He received his B.S. in Industrial Engineering from Yonsei University.

His primary research interests include sequential decision-making, reinforcement learning, bandit algorithms, statistical machine learning, and optimization for machine learning, as well as their practical applications. His ultimate research goal is to develop learning algorithms that are both theoretically principled and practically implementable.