Causal Seminar: Rui Duan

Rui Duan is an Assistant Professor of Biostatistics at the Harvard T.H. Chan School of Public Health. She is also a primary faculty member in the Department of Epidemiology and an affiliate of the Harvard Data Science Initiative. Dr. Duan received her Ph.D. in Biostatistics from the University of Pennsylvania in 2020 and joined Harvard later that year.

Her research is supported by the Harvard Chan School of Public Health Dean’s Fund for Scientific Achievements, the Harvard Data Science Initiative Competitive Research Fund, the Google Research Scholar Award, and the National Institutes of Health.

Dr. Duan’s work focuses on developing statistical and machine learning methods to harness biomedical data for more precise and accurate diagnostics, individualized treatment strategies, and improved patient outcomes. Specifically, her research includes:

1. Developing disease risk prediction models using electronic health records (EHR) and EHR-linked biobanks;
2. Creating methods for detecting cross-phenotype associations and pleiotropy in high-dimensional data;
3. Advancing federated learning and meta-analysis methods for evidence synthesis and data integration; and
4. Designing methods to address the suboptimality of real-world data, including missing data and measurement errors.