Miguel A. HERNÁN HUERTA
Kolokotrones Professor of Biostatistics and Epidemiology, Director of CAUSALab, Harvard University, Boston
United States, 1994
Miguel Hernán conducts research to learn what works to improve human health. Together with his collaborators, he designs analyses of healthcare databases, epidemiologic studies, and randomized trials. Miguel teaches 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 the Kolokotrones Professor of Biostatistics and Epidemiology and the Director of the CAUSALab. 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 an 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.
Your fellowship code is . You have to include it in all the publications or dissemination materials you create which are related to the research funded by the ”la Caixa” fellowship. Particularly, this mention should read as follows: “The project that gave rise to these results received the support of a fellowship from ”la Caixa” Foundation (ID 100010434). The fellowship code is ”.