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)
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.