Joongkyu Lee is a Ph.D. candidate in the Graduate School of Data Science at Seoul National University, under the supervision of Prof. Min-hwan Oh. He received MS in the Graduate School of Data Science under the supervison of Prof. Min-hwan Oh from Seoul National University, and BS in Industrial Engineering from Yonsei University.

His primary research interests are in sequential decision making, reinforcement learning, bandit algorithms, statstical machine learning, optimization for machine learning and their practical applications. His ultimate research goal is to develop algorithms that are both theoretically provable and practically implementable.