Xiangyu Song 宋翔宇
Welcome! I am a Ph.D. student in Political Science at Washington University in St. Louis (WashU), where I also hold a M.A. in Statistics.
I work in Political Methodology and Political Economy. Methodologically, I am interested in causal inference, conformal inference, and causal machine learning. Substantively, I am broadly interested in comparative and international political economy.
Previously, I earned a M.A. in Political Science from Duke University, a B.A. in Korean Studies and a LL.B. in International Political Economy from Peking University.
At WashU, I am an affiliate of Political Data Science Lab.
Working Papers
- Song, Xiangyu. “Conformal Inference for Experimental Attrition in Social Science Research.”
- Song, Xiangyu. “Leveling the Playing Field for Everyone? Large-scale Anti-corruption Campaign and Foreign Direct Investment, with Evidence from China.”
Teaching
- Guest Lecturer
- Lecture on Partial Identification, Causal Inference, Spring 2026
- Assistant Instructor
- Causal Inference, Spring 2026
- Quantitative Political Methodology II, Fall 2025
- Quantitative Political Methodology, Spring 2025
- Data Science for Politics, Fall 2024
- Causal Inference, Spring 2026