Ruiyang Lin
I am a second-year Ph.D. student in Statistics in the Department of Statistics and Data Science at Washington University in St. Louis. Before that, I received my B.S. in Statistics from the School for the Gifted Young at the University of Science and Technology of China. My research interests include causal inference, prediction-powered inference, contextual bandits, and machine learning.
Research
- Causality. Causal discovery, causal graphs, and efficient estimation of causal effects.
- Prediction-powered inference. Conditional inference that leverages machine learning predictions and unlabeled data.
- Bandits. Statistical inference for bandit algorithms.
Publications
Teaching
- Fall 2026 SDS 5155: Time Series Analysis Teaching Assistant, Washington University in St. Louis
- Fall 2026 SDS 5480: Introduction to Sports Analytics Teaching Assistant, Washington University in St. Louis
Service
- 2026 Reviewer, NeurIPS