About.

Min-hwan received B.A. (Summa cume laude) in Mathetmatics and Statistics, M.S. and Ph.D. in Operations Reserach from Columbia University, where he was advised by Garud Iyengar and Assaf Zeevi. He is an Assistant Professor in the Graduate School of Data Science at Seoul National University. His primary research interests are in sequential decision making under uncertainty, reinforcement learning, bandit algorithms, statistical machine learning and their various applications.

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