Bio
PhD student, Epidemiology
My primary research interest revolves around causal inference and pharmacoepidemiology, with a particular focus on development and application of causal inference and machine learning methods to solve methodological problems facing pharmacoepidemiologic research and health care practices, including complex longitudinal data, heterogeneity of causal effects, synthetic data generation, missing data and unmeasured confounders. Specifically, I am very interested in using real world data for investigating both safety and effectiveness of medications to inform clinical decision making.
Areas of Interest
- Causal Inference
- Machine Learning
- Chronic Diseases
- Data Science
Education
- BS, Beijing Sport University
- MEd, Tsinghua University
- MSPH, Emory University