Miguel Hernán

Miguel Hernán is a Spanish-American epidemiologist. He is the Kolokotrones Professor of Biostatistics and Epidemiology at the Harvard T.H. Chan School of Public Health and Member of the Faculty at the Harvard–MIT Program in Health Sciences and Technology.

Hernán conducts research to learn what works to improve human health. Together with his collaborators from several countries, he designs analyses of healthcare databases, epidemiologic studies, and randomized trials. He is a Global Highly Cited Researcher.

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.

Hernán is an elected Fellow of the American Association for the Advancement of Science and of the American Statistical Association, Editor Emeritus of Epidemiology (journal), and past Associate Editor of Biometrics (journal), American Journal of Epidemiology, and the Journal of the American Statistical Association. He has been Special Government Employee of the U.S. Food and Drug Administration and has served on several committees of the National Academies of Sciences, Engineering, and Medicine of the United States.

Education

• M.D., 1995, Universidad Autónoma de Madrid, Spain
• M.P.H., 1996, Harvard University
• Sc.M. (Biostatistics), 1999, Harvard University
• Dr.P.H. (Epidemiology), 1999, Harvard University

External links

• "Miguel Hernan, Kolokotrones Professor of Biostatistics and Epidemiology". harvard.edu. Retrieved May 1, 2017.
• "Miguel Hernan, Kolokotrones Professor of Biostatistics and Epidemiology, Harvard University". Google Scholar. Retrieved April 25, 2020.