About Me

I am a currently Ph.D. student in the Graduate School of Data Science at Seoul National University. What I have been delving into:

Research Interests

Efficient Causal Inference,
Causal Machine Learning, Statistical Machine Learning,
Statistical/Econometric Models

Education

• Ph.D. in Data Science, specialized in Causality, Seoul National University (Since Sep, 2021) - Advisee of Prof. Sanghack Lee @ [Causality Lab], GSDS-SNU
• M.S. in Management Information Systems (MIS), specialized in Econ-IS, Seoul National University (Class of 2020)
• Dual B.S. in Economics and Statistics (minors in Mathematics and Management), University of Minnesota - Twin Cities (Class of 2014)

Publications

Link

Curriculum Vitae

will be available soon (in the meantime, request me!)

News

• Sep 2026: (American Journal of Epidemiology, 2026) Y Choe, Y Kwon, M Kho, S Lee, S Lee. Event-Time Regression Discontinuity for Biomedical Data: LATT Estimation and Covariate Distribution Tests.
• Jun 2026: (The Conference on Uncertainty in Artificial Intelligence (UAI) 2026) Y Choe, Y Kwon, M W Park, S Lee. Canonical Domain Reduction for Partial Counterfactual Identification.
• Sep 2025: Honored to be selected for the PhD Fellowship in Science and Engineering (Sep 2025 – Aug 2026), funded by the National Research Foundation of Korea (NRF).