Hongseok Namkoong is an Assistant Professor in the Decision, Risk, and
Operations division at Columbia Business School and a member of the Columbia
Data Science Institute. His research interests lie at the interface of machine
learning, operations research, and causal inference, with a particular
emphasis on developing reliable learning methods for decision-making
problems. Hong's research has been recognized by several awards, including
paper awards at Neural Information Processing Systems, International
Conference on Machine Learning, INFORMS Applied Probability Society, and
Conference on Computer Vision and Pattern Recognition, and the Amazon Research
Award. He received his Ph.D. from Stanford University where he was jointly
advised by John Duchi and Peter Glynn, and worked as a research scientist at
Facebook Core Data Science before joining Columbia.