Biography
Eran Segal heads a multi-disciplinary team of computational biologists and experimental scientists in Computational and Systems biology. His research focuses on Microbiome, Nutrition, Genetics, and their effect on health and disease. His aim is to develop personalized medicine based on big data from human cohorts.
Prof. Segal published over 200 publications, and received several awards and honors for his work. During the COVID-19 pandemic, Prof. Segal developed models for analyzing the dynamics of the pandemic and served as an advisor to the government of Israel.
Before joining the Weizmann Institute, Prof. Segal held an independent research position at Rockefeller University, New York.
Education: Prof. Segal was awarded a B.Sc. in Computer Science summa cum laude in 1998, from Tel-Aviv University, and a Ph.D. in Computer Science and Genetics in 2004, from Stanford University
Track Co-Chairs:
Russ Cucina, UCSF