Co-Director, Harvard Data Science Initiative
Professor of Biostatistics
Harvard T.H. Chan School of Public Health
Dr. Francesca Dominici is a data scientist whose pioneering scientific contributions have advanced public health research around the globe. Her life’s work has focused broadly on developing and advancing methods for the analysis of large, heterogeneous data sets to identify and understand the health impacts of environmental threats and inform policy.
Dr. Dominici received her B.S. in Statistics from University La Sapienza in Rome, Italy and her Ph.D. in Statistics from the University of Padua in Italy. She did her postdoctoral training with Scott L. Zeger and Jonathan M. Samet at the Bloomberg School of Public Health at Johns Hopkins University. In 1999, she was appointed Assistant Professor at the Bloomberg School of Public Health and in 2007 she was promoted to Full Professor with tenure. Dr. Dominici was recruited to the Harvard T.H. Chan School of Public Health as a tenured Professor of Biostatistics in 2009. She was appointed Associate Dean of Information Technology in 2011 and Senior Associate Dean for Research in 2013. She is currently the Co-Director of the Harvard Data Science Initiative.
For a detailed overview of Dr. Dominici’s academic and professional contributions, read her extended bio.
In the news:
Dr Dominici, a native Italian, was recently recognized in a popular Italian newspaper for her work on the the effects of noise on health (similar to that of passive smoking) and the hidden dangers of airborne pollutants.
Dr. Dominici receives Janet L. Norwood Award for Outstanding Achievement in Statistical Sciences. In bestowing the award to Dr. Dominici, UAB’s School of Public Health recognized not only her achievements but also acknowledged the accomplishments of all women in the statistical sciences.
From more than 2514 NIEHS-funded studies published in 2015, leaders of the NIEHS selected 28 for special recognition, Dr. Dominici’s paper on the causes of hospitalization during heat waves was recognized as one of the top papers in 2015.