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Cancer screening, dynamic risk prediction, causal inference, and health policy modeling 
Applications are invited for a postdoctoral fellow position in cancer research to join Dr. Summer Han’s research group in the Stanford Center for Biomedical Informatics Research at Stanford University. This position emphasizes (i) applying novel causal inference methods for analyzing large observational data from electronic health records (EHRs) or administrative claims data (e.g., Medicare) and (ii) evaluating various cancer screening strategies by developing microsimulation models for decision-making in health policy.
Specific areas of interest include but are not limited to (1) cancer screening modeling, (2) microsimulation, (3) decision analysis/health policy modeling, (4) survival data under competing risks, (5) dynamic risk prediction modeling (e.g., landmark model), (6) data integration (EHRs and cancer registries), (7) cost-effectiveness analysis.