about me

I am an assistant professor in the Decision, Risk, and Operations division at Columbia Business School. I received my Ph.D. from Stanford University in 2019, where I was jointly advised by John Duchi and Peter Glynn. After my PhD, I spent a year as a research scientist at Facebook Core Data Science. Here's a more formal bio in the third person.

My research interests lie at the interface of large-scale statistical models and decision-making. I develop robust and reliable methods for data-driven decision making, building on machine learning, statistics, applied probability, simulation, and optimization.

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


B8101: Business Analytics II (MBA, Spring 2021)

B9145: Reliable Statistical Learning (PhD, Fall 2020)

research summary

My research studies the interplay between statistical learning and operations research, and focuses on reliable learning methods for decision making. Below are a few underlying themes for my recent projects.

Ph.D. Thesis