about me

I am an assistant professor in the Decision, Risk, and Operations division at Columbia Business School and a member of the Data Science Institute. My research interests lie at the interface of machine learning and decision-making. I develop robust and reliable methods for data-driven decision making, extending and connecting tools across ML, operations research, and causal inference.

I received my Ph.D. from Stanford University in 2019 and spent a year at Facebook Core Data Science as a research scientist. Here's a more formal bio in the third person.

I go by Hong; alternatively, here's a link for the correct pronunciation of my first name. My pronouns are he/him/his.

               namkoong (at) gsb.columbia.edu                CV


teaching

B8101: Business Analytics II (MBA, Spring 2021)

B9145: Reliable Statistical Learning (PhD, Fall 2020)

Ph.D. Thesis