Francesca Dominici
Clarence James Gamble Professor of Biostatistics, Population, and Data Science
Biostatistics, Harvard T.H. Chan School of Public Health
Departments
Department of Biostatistics
Department of Environmental Health
Other Positions
Faculty Affiliate in the Department of Environmental Health
Environmental Health, Harvard T.H. Chan School of Public Health
Director of the Harvard Data Science Initiative
Provost Staff, OPR
Related Links
Biography
Dr. Francesca Dominici is the Clarence James Gamble Professor of Biostatistics, Population and Data Science at the Harvard T.H. Chan School of Public Health and Director of the Harvard Data Science Initiative at Harvard University. She is a member of the National Academy of Medicine and of the International Society of Mathematical Statistics. In 2024, she was named by TIME100 Health as one of the most influential scientists in global health in the world. Before being appointed founding Director of the Harvard Data Science Initiative, she was Senior Associate Dean for Research at the Harvard TH Chan School of Public Health. Dr. Dominici is also the founder and lead Principal Investigator (PI) for the National Studies on Air Pollution and Health Group (NSAPH), as well as a co-founding PI and leader for the BUSPH-HSPH Climate Change and Health Research Coordinating Center, CAFÉ.
Dr. Dominici’s research has focused on machine learning, Artificial Intelligence, causal inference, and data science to impact climate and environmental policy. Her air pollution studies have directly and routinely impacted air quality policy, leading to more stringent ambient air quality standards in the U.S. Her work has been covered by the New York Times, the Los Angeles Times, the BBC, the Guardian, CNN, and NPR.
Among her most recent awards, she was recognized as the Mosteller Statistician of the Year by the Boston Chapter of the American Statistical Association in 2022. The award is given to a distinguished statistician who has made exceptional contributions to the field of statistics and outstanding service to the statistical community.