Zion Lee
Zion Lee
My research interests lie in causal inference, particularly causal interaction among multiple treatments and effect modification. I am also interested in causal attribution, causes of effects, and the probability of causation. More broadly, I aim to develop methods for these problems in complex settings and apply them to empirical legal studies.
Education
- Ph.D. in Statistics, Seoul National University, Sep 2023 - Present.
- B.S. in Mathematics Education and Statistics, Sungkyunkwan University, Mar 2018 - Aug 2023.
Teaching Assistant
- Data Analysis and Lab (M1399.001400), Fall 2026.
- Statistics for Life Sciences and Lab (F32.103L), Fall 2025.
- Research Method and Statistics (M2480.002400), Spring 2025.
Publications
- Lee, Z., & Lee, K. (2025). Causal interaction and effect modification: a randomization-based approach to inference. Journal of the Korean Statistical Society, 54, 665–684. doi.org/10.1007/s42952-025-00313-7
Presentations
Design-Based Inference for Attribution to Causal Interaction
- Oral presentation, American Causal Inference Conference (ACIC), Salt Lake City, USA, May 2026.
- Poster presentation, European Causal Inference Meeting (EuroCIM), Oxford, UK, April 2026.
Causal Interaction and Effect Modification: A Randomization-Based Approach to Inference
- Oral presentation, Symposium on Causal Inference, Seoul, South Korea, June 2025.
- Poster presentation, Summer Conference of the Korean Statistical Society (KSS), Gyeongju, South Korea, June 2025.
- Poster presentation, American Causal Inference Conference (ACIC), Detroit, USA, May 2025.