Eran Segal is a Senior Research Fellow at GenBio AI and a Professor of Computational Biology at the Weizmann Institute of Science. 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.
A recipient of the Overton Prize and a Fulbright Scholar, Prof. Segal has authored over 250 articles that were cited over 85,000 times in leading scientific journals. His groundbreaking work in personalized nutrition leverages machine learning and microbiome analysis, redefining dietary recommendations to improve health outcomes. 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.
Biography
Eran Segal is a Senior Research Fellow at GenBio AI and a Professor of Computational Biology at the Weizmann Institute of Science. 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.
A recipient of the Overton Prize and a Fulbright Scholar, Prof. Segal has authored over 250 articles that were cited over 85,000 times in leading scientific journals. His groundbreaking work in personalized nutrition leverages machine learning and microbiome analysis, redefining dietary recommendations to improve health outcomes. 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.