Miguel Hernán, MD, DrPH
Miguel Hernán, MD, conducts research on how to do research. He is especially interested in methods to evaluate the comparative effectiveness of strategies for the treatment and prevention of disease. Together with collaborators in several countries, he designs analyses of electronic health records, epidemiologic studies, and pragmatic randomized trials. Miguel teaches clinical data science at the Harvard Medical School, clinical epidemiology at the Harvard-MIT Division of Health Sciences and Technology, and causal inference methodology at the Harvard T.H. Chan School of Public Health, where he is a professor in the Departments of Epidemiology and Biostatistics and has mentored over 25 doctoral students and postdoctoral fellows. Miguel is Fellow of the American Association for the Advancement of Science, Chair of the Section on Statistics and Epidemiology of the American Statistical Association, Associate Editor of the American Journal of Epidemiology and of the Journal of the American Statistical Association, and an Editor of Epidemiology.