School of Medicine
Showing 1-10 of 174 Results
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Jason Andrews
Professor of Medicine (Infectious Diseases) and, by courtesy, of Epidemology
Current Research and Scholarly InterestsOur laboratory aims to develop and test innovative approaches to the diagnosis, treatment and control of infectious diseases in resource-limited settings. We draw upon multiple fields including mathematical modeling, microbial genetics, field epidemiology, statistical inference and biodesign to work on challenging problems in infectious diseases, with an emphasis on tuberculosis and tropical diseases.
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Themistocles (Tim) Assimes
Associate Professor of Medicine (Cardiovascular Medicine) and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsGenetic Epidemiology, Genetic Determinants of Complex Traits related to Cardiovasular Medicine, Coronary Artery Disease related pathway analyses and integrative genomics, Mendelian randomization studies, risk prediction for major adverse cardiovascular events, cardiovascular medicine related pharmacogenomics, ethnic differences in the determinants of Insulin Mediated Glucose Uptake, pharmacoepidemiology of cardiovascular drugs & outcomes
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Michael Baiocchi
Associate Professor of Epidemiology and Population Health and, by courtesy, of Statistics and of Medicine (Stanford Prevention Research Center)
BioProfessor Baiocchi is a PhD statistician in Stanford University's Epidemiology and Population Health Department. He thinks a lot about behavioral interventions and how to rigorously evaluate if and how they work. Methodologically, his work focuses on creating statistically rigorous methods for causal inference that are transparent and easy to critique. He designed -- and was the principle investigator for -- two large randomized studies of interventions to prevent sexual assault in the settlements of Nairobi, Kenya.
Professor Baiocchi is an interventional statistician (i.e., grounded in both the creation and evaluation of interventions). The unifying idea in his research is that he brings rigorous, quantitative approaches to bear upon messy, real-world questions to better people's lives.
