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 (updated July 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