Geondo Park
Geondo Park
My research focuses on causal inference, particularly on quantifying overlap in observational studies. I also work on applied projects involving medical data, with an interest in bridging causal inference methodology and real-world applications. My broader research interests include synthetic control methods, generalizability and transportability, and causal inference for complex real-world data.
Education
- Ph.D. in Statistics, Seoul National University, Mar 2023 - Present
- B.S. in Statistics, Seoul National University, Mar 2017 - Aug 2023
Teaching Assistant
- Mathematical Statistics 2 (326.312), Fall 2025
- Causal Inference (M1399.001200), Spring 2025
- Seminar in Statistics (Uncertainty Quantification in Deep Learning) (326.739A), Fall 2024
- Probability Theory 1 (326.513), Spring 2024
- The World of Uncertainty and Statistics (046.003), Fall 2023
- Mathematical Statistics 1 (326.311), Spring 2023
Presentations
- 2026 Spring Center for Causal Inference (CCI) Seminar, Univerysity of Pennsylvania, USA (Jan 2026)
- Symposium on Causal Inference, Seoul, South Korea (Jun 2025)
- Summer Confernce of the Korean Statistical Society (KSS), Gyeongju, South Korea (Jun 2025)
- Winter Conference of the Korean Statistical Society (KSS), Seoul, South Korea (Nov 2023)