about me

I'm a final-year PhD student at Stanford University, advised by John Duchi and Peter Glynn. I'm a member of the Operations Research Group, and the Statistical Machine Learning Group.

My research interests lie in the span of machine learning, statistics, applied probability, simulation, and optimization, with a particular emphasis on developing robust and reliable methods for data-driven decision making.

Previously, I obtained a M.S. in Statistics from Stanford, and a B.S. in Industrial Engineering and Mathematics from KAIST.

hnamk (at) stanford.edu

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 PhD projects.

selected working papers