Eran Segal is a Professor at the Department of Computer Science and Applied Mathematics at the Weizmann Institute of Science, and adjunct Professor at Mohamed Bin Zayed University of Artificial Intelligence, heading a lab with a multi-disciplinary team of computational biologists and experimental scientists in the area of Computational and Systems biology. His group has extensive experience in AI, machine learning, computational biology, and analysis of heterogeneous high-throughput genomic data. His research focuses on Microbiome, Nutrition, Genetics, and their effect on health and disease. His aim is to develop personalized medicine based on data from large-scale and deeply phenotyped human cohorts.
Prof. Segal published over 200 publications that were cited over 60,000 times, and received several awards and honors for his work, including the Overton prize, awarded annually by the International Society for Bioinformatics (ICSB) to one scientist for outstanding accomplishments in computational biology, and the Michael Bruno award. He was also elected as an EMBO member and as a member of the young Israeli academy of science. During the COVID-19 pandemic, Prof. Segal developed models for analyzing the dynamics of the pandemic and served as a senior advisor to the government of Israel.
Before joining the Weizmann Institute, Prof. Segal held an independent research position at Rockefeller University, New York.