Statistical Decision Making Lab.
Career History
- 2013: B.Agr. Food Science and Biotechnology, B.S. Statistics, Seoul National University
- 2015: M.S. Statistics, Seoul National University
- 2019: Ph.D. Statistics, Seoul National University
- 2019-2020: Postdoctoral Researcher, SNU
- 2020-2025: Assistant Professor, Department of Industrial Engineering, Artificial Intelligence Graduate School, UNIST
- 2025-Present: Associate Professor, Artificial Intelligence Graduate School, Department of Industrial Engineering, UNIST
Intro
The Statistical Decision Making (SDM) Lab conducts research on statistical approaches to adaptive decision making and machine learning under distribution shift. We develop algorithms by integrating online learning and optimization techniques to adapt models to streaming data and evolving environments. Our research focuses particularly on multi-armed bandits and domain adaptation, along with related topics such as offline policy evaluation.
Research Field
Statistics, Machine Learning, Reinforcement Learning