Our History

In 1986, Professor James Robins described a generalized theory of causal inference from complex longitudinal data with time-varying treatments. This seminal paper marked the beginning of an era in causal inference research from randomized and observational studies. Over the next decades, and under Robins’s scientific guidance, our group in the Department of Epidemiology at the Harvard T.H. Chan School of Public Health made groundbreaking contributions to methodology for causal inference. We applied our methods to address important questions that span a wide range of health areas. In 2021, the CAUSALab was founded under the direction of Miguel Hernán to articulate a growing research portfolio, create synergy with our strategic partners, and provide training on causal inference to the next generation of investigators.