We’ve seen tremendous breakthroughs in genomic science in the past five years, especially as vast quantities of genomic data become available, and the costs of sequencing fall. In my role as chief data officer at the Broad Institute of MIT and Harvard, my team manages more than 100 petabytes of data. We’re finally hitting an inflection point where this data is being applied to create diagnostic tools and therapeutic interventions. These real-world applications will have a major impact on the lives of patients, especially as we get closer to using data to make better decisions about healthcare.
Anthony Philippakis is a physician, geneticist, and data scientist. He is currently a cardiologist at Brigham and Women's Hospital, a venture partner at GV, and the chief data officer at Broad Institute of Harvard and MIT.
Anthony studied mathematics as an undergraduate at Yale University, followed by a master’s in mathematics at Cambridge University. He completed an M.D. at Harvard Medical School and a Ph.D. in biophysics at Harvard, working to develop computational methods for understanding transcriptional regulation. He completed his medical residency and cardiology fellowship at Brigham and Women's Hospital.
Anthony is committed to bringing genome sequencing and data science into the practice of clinical medicine. As a clinician, he specializes in the care of patients with rare genetic cardiovascular diseases. He co-chairs the Scientific Advisory Board of Global Genes, is a strategic adviser to the American Heart Association, and sits on the Clinical Working Group of the Global Alliance for Genomics and Health.
We’ve seen tremendous breakthroughs in genomic science in the past five years, especially as vast quantities of genomic data become available, and the costs of sequencing fall. In my role as chief data officer at the Broad Institute of MIT and Harvard, my team manages more than 100 petabytes of data. We’re finally hitting an inflection point where this data is being applied to create diagnostic tools and therapeutic interventions. These real-world applications will have a major impact on the lives of patients, especially as we get closer to using data to make better decisions about healthcare.