Eran Segal

Eran Segal is a Professor at Mohamed Bin Zayed University of Artificial Intelligence and at the Weizmann Institute of Science, 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 explores the links between the microbiome, nutrition, genetics, and other clinical, physiological, and multi-omic phenotypes on human health, aiming to develop personalized medicine by analyzing large-scale and deeply phenotyped human cohorts. 

Prof. Segal published over 250 publications that were cited over 86,000 times (H-index: 118), 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.

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.