Kolokotrones Professor of Biostatistics and Epidemiology, Director of CAUSALab, Harvard University, Boston

Postgrau als Estats Units, 1994

Miguel Hernán conducts research to learn what works to improve human health. He is the Director of the CAUSALab at the Harvard T.H. Chan School of Public Health, where he and his collaborators design analyses of healthcare databases, epidemiologic studies, and randomized trials. As Kolokotrones Professor of Biostatistics and Epidemiology, he teaches causal inference methodology at Harvard and clinical epidemiology at the Harvard-MIT Division of Health Sciences and Technology. His edX course “Causal Diagrams” and his book “Causal Inference: What If”, co-authored with James Robins, are freely available online and widely used for the training of researchers. Miguel is a Rousseeuw Prize for Statistics laureate, winner of the Kenneth Rothman Epidemiology Prize, elected Fellow of the American Association for the Advancement of Science and of the American Statistical Association, Editor Emeritus of Epidemiology, and past Associate Editor of Biometrics, American Journal of Epidemiology, and the Journal of the American Statistical Association. He has served on several committees of the National Academies of the United States.