about me

From summer 2019 to 2020, I am a research scientist at Facebook Core Data Science, working with the Adaptive Experimentation group. I received my Ph.D. from Stanford University, where I was jointly advised by John Duchi and Peter Glynn. In July 2020, I will join the Decision, Risk, and Operations division at Columbia Business School as an assistant professor.

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.

hsnamkoong (at) gmail.com

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

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