About

I am Seok-Jin Kim, a third-year PhD student at Department of Industrial Engineering and Operations Research at Columbia University. My advisor is Kaizheng Wang.

I received a B.S. in Statistics and Mathematics (double major) from Seoul National University, graduating summa cum laude. During my undergraduate, I was advised by Min-hwan Oh.

My research interest spans theoretical statistics and sequential decision-making.

Email: seok-jin.kim [at] columbia [dot] edu

Research Interest

Theory of Statistics: Emphasis on Nonparametrics, Causality and Online Learning.
Statistical Aspects of Reinforcement Learning and Bandit Algorithms.
Theoretical Foundations of Data Integration: Transfer Learning and Multi-Task Learning.