School of Medicine
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Professor of Biomedical Data Science and of Statistics
Current Research and Scholarly Interests Statistical models and reasoning are key to our understanding of the genetic basis of human traits. Modern high-throughput technology presents us with new opportunities and challenges. We develop statistical approaches for high dimensional data in the attempt of improving our understanding of the molecular basis of health related traits.
Associate Professor of Biomedical Data Science and of Biochemistry
Current Research and Scholarly Interests Circular RNA regulation and function; computational and experimental approaches
Nigam H. Shah, MBBS, PhD
Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science
Current Research and Scholarly Interests We analyze multiple types of health data (EHR, Claims, Wearables, Weblogs, and Patient blogs), to answer clinical questions, generate insights, and build predictive models for the learning health system.