Min-hwan Oh

Min-hwan is a Ph.D. candidate in Operations Research with Data Science specialization at Columbia University. He is advised by Prof. Garud Iyengar and co-advised by Prof. Assaf Zeevi. His primary research interests are in sequential decision making under uncertainty, reinforcement learning, bandit algorithms, and their applications.