Eran Segal is a Senior Research Fellow at GenBio AI and a Professor of Computational Biology at the Weizmann Institute of Science. His research focuses on developing quantitative models to understand gene regulation and exploring personalized approaches to nutrition and metabolic health using advanced computational methods.
A recipient of the Overton Prize and a Fulbright Scholar, Prof. Segal has authored over 140 articles in leading scientific journals. His groundbreaking work in personalized nutrition leverages machine learning and microbiome analysis, redefining dietary recommendations to improve health outcomes.
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 focuses on developing quantitative models to understand gene regulation and exploring personalized approaches to nutrition and metabolic health using advanced computational methods.
A recipient of the Overton Prize and a Fulbright Scholar, Prof. Segal has authored over 140 articles in leading scientific journals. His groundbreaking work in personalized nutrition leverages machine learning and microbiome analysis, redefining dietary recommendations to improve health outcomes.