Miguel Hernán
Miguel Hernán is Director of CAUSALab and Professor at Harvard T.H. Chan School of Public Health, specializing in causal inference and epidemiology. He advances health data methodologies to identify effective interventions, notably confirming COVID-19 vaccine effectiveness using observational data. Hernán also serves as Methods Editor for the Annals of Internal Medicine, contributing to public health research and policy.
Miguel Hernán
Miguel Hernán is Director of CAUSALab and Professor at Harvard T.H. Chan School of Public Health, specializing in causal inference and epidemiology. He advances health data methodologies to identify effective interventions, notably confirming COVID-19 vaccine effectiveness using observational data. Hernán also serves as Methods Editor for the Annals of Internal Medicine, contributing to public health research and policy.