Preventing another pandemic requires translating disparate data into decision support tools. I see a central role for AI in this process. The Institute for Experiential AI will be a critical partner as we operationalize such tools for public health.
– Samuel Scarpino, Affiliate Member, EAI
Samuel Scarpino is an affiliate assistant professor in the Department of Physics. He holds appointments in the Khoury College of Computer Sciences, the Global Resilience Institute, the Roux Institute, and the Network Science Institute, where he directs the Emergent Epidemics Lab. Scarpino is also managing director of pathogen surveillance at The Rockefeller Foundation, a member of the Pandemic Prevention Institute, and co-founder of a data science initiative called Global.health.
Scarpino brings over 10 years of experience translating research into decision support, data science, and machine learning tools across sectors, from public health and clinical medicine to real estate and energy.
Cited in nearly 100 academic journals and books, Scarpino’s commentary has been in publications including Nature, Science, the Proceedings of the National Academy of Sciences of the United States of America, and Nature Physics. The New York Times, Wired, the Boston Globe, NPR, VICE News, National Geographic, and numerous others have featured his research. Scarpino has earned fellowships from the Institute for Scientific Interchange and the Santa Fe Institute.
Before joining Northeastern, Scarpino served as chief strategy officer and head of data science at Dharma Platform, a social impact technology startup. After earning his doctoral degree from the University of Texas at Austin, he was also a faculty member at the Santa Fe Institute and an external faculty member at the Vermont Complex Systems Center.