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We are delighted to welcome Dr. Miguel Hernán, Kolokotrones Professor of Biostatistics and Epidemiology at the Harvard T.H. Chan School of Public Health, as our visiting scholar this semester in the department of Epidemiology and Biostatistics.
Dr. Hernán conducts research to learn what works for the treatment and prevention of cancer, cardiovascular disease, and HIV infection. Together with his collaborators, he designs analyses of healthcare databases, epidemiologic studies, and randomized trials.
He 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 T.H. Chan. His edX course Causal Diagrams and his book Causal Inference, co-authored with James Robins, are freely available online and widely used for the training of researchers.
Dr. Hernán is an elected Fellow of the American Association for the Advancement of Science, past Chair of the American Statistical Association Section on Statistics in Epidemiology, an Editor of Epidemiology, and past or current Associate Editor of Biometrics, The American Journal of Epidemiology, and The Journal of the American Statistical Association.
“We are thrilled to have Dr. Hernán this semester and trust his instruction will have a lasting impact on our students,” says Dr. Elizabeth Kelvin, chair of the Epidemiology and Biostatistics department.
