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Anthony Philippakis

M.D., Ph.D.

Chief Data Officer and Institute Scientist

Co-Director, Eric and Wendy Schmidt Center

Broad Institute of MIT and Harvard

Anthony Philippakis is the chief data officer of the Broad Institute of MIT and Harvard, and the co-director of the Eric and Wendy Schmidt Center.

He trained as a cardiologist at Brigham and Women’s Hospital, with a focus on rare genetic cardiovascular diseases. At the Broad Institute he is the founding director of the Data Sciences Platform, an organization of over 200 software engineers and computational biologists that develops software for analyzing genomic and clinical data. In addition to his roles at the Broad Institute and Brigham and Women’s Hospital, Philippakis is a venture partner at GV, focusing on machine learning, distributed computing, and genomics.

Philippakis received his M.D. from Harvard Medical School and completed a Ph.D. in biophysics at Harvard. As an undergraduate, he studied mathematics at Yale University, and later completed the Part III (equivalent to M.Phil.) in mathematics at Cambridge University. 

Anthony Philippakis

M.D., Ph.D.

Chief Data Officer and Institute Scientist

Co-Director, Eric and Wendy Schmidt Center

Broad Institute of MIT and Harvard

Anthony Philippakis is the chief data officer of the Broad Institute of MIT and Harvard, and the co-director of the Eric and Wendy Schmidt Center.

He trained as a cardiologist at Brigham and Women’s Hospital, with a focus on rare genetic cardiovascular diseases. At the Broad Institute he is the founding director of the Data Sciences Platform, an organization of over 200 software engineers and computational biologists that develops software for analyzing genomic and clinical data. In addition to his roles at the Broad Institute and Brigham and Women’s Hospital, Philippakis is a venture partner at GV, focusing on machine learning, distributed computing, and genomics.

Philippakis received his M.D. from Harvard Medical School and completed a Ph.D. in biophysics at Harvard. As an undergraduate, he studied mathematics at Yale University, and later completed the Part III (equivalent to M.Phil.) in mathematics at Cambridge University. 

Recent Publications


Incorporating genetic data improves target trial emulations and informs the use of polygenic scores in randomized controlled trial design

Published On 2025 Jun 18

Journal article

Randomized controlled trials (RCTs) remain the gold standard for evaluating medical interventions, yet ethical, practical and financial constraints often necessitate reliance on observational data and trial emulations. This study explores how integrating genetic data can enhance both emulated and traditional trial designs. Using FinnGen (n = 425,483), we emulated four major cardiometabolic RCTs and showed how reduced differences in polygenic scores (PGS) between trial arms track improvement in...