معرفی
Xu Shi is an Associate Professor in the Department of Biostatistics at the University of Michigan. Previously, they were a postdoctoral fellow at Harvard's Data Science Initiative. They hold a Ph.D. in Biostatistics from the University of Washington and a B.S. in Mathematics and Applied Mathematics from Zhejiang University, China.
Research focuses on statistical methods for administrative healthcare data, including EHR curation, causal inference, and scalable pipelines for distributed healthcare systems. They co-lead the FDA Sentinel Initiative's Causal Inference Core, developing methods to monitor medical product safety. Key areas include EHR harmonization, negative control applications, and addressing unmeasured confounding in observational studies.
Publications span causal inference methodologies, vaccine effectiveness, post-stroke outcomes, and synthetic EHR data generation. They emphasize interdisciplinary collaboration, particularly with the FDA and distributed healthcare networks.
Education history includes:
- B.S. in Mathematics and Applied Mathematics (Zhejiang University, China)
- Ph.D. in Biostatistics (University of Washington)
- Postdoctoral Fellowship (Harvard University)
Labs/Teams: Leadership in the FDA Sentinel Initiative's Causal Inference Core and collaborations with institutions like Partners HealthCare and Veterans Health Administration.
