Journal of the American Statistical Association · 2023
Cited
4
Resume (English only)
Background
Assistant Professor of Biostatistics at the Harvard T.H. Chan School of Public Health
Primary faculty member in the Department of Epidemiology at Harvard University
Affiliated faculty at the Harvard Data Science Initiative
Research focuses on developing statistical and machine learning methods to effectively use biomedical data for precise diagnostics, individualized treatments, and improved patient outcomes
Specific research areas include: (1) disease risk prediction models using electronic health records (EHR) and EHR-linked biobanks; (2) methods for detecting cross-phenotype associations and pleiotropy with high-dimensional data; (3) federated learning and meta-analysis for evidence synthesis and data integration; (4) methods addressing suboptimality in real-world data, such as missing data and measurement errors