about me

I study operations research and machine learning. My research focuses on developing robust and reliable methods for data-driven decision making. More broadly defined, my work lies in the span of machine learning, statistics, applied probability, simulation, and optimization.

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

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

selected working papers