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

Estados Unidos, 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.



Estados Unidos, 1994

Universidad o centro de destino

Harvard University, Cambridge, MA

Estudios cursados con la beca

Salud Pública

Tipo de estudio

Máster o equivalente

Especialidad de los estudios cursados con la beca

Salud pública

Universidad de origen

Universidad Autónoma de Madrid

Especialidad de origen

Medicina general e interna