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.