Eran Segal

Eran Segal is a computational biologist who demonstrated that the gut microbiome is a key determinant of personalized glycemic responses to food, with implications for metabolic disease and cancer risk. His laboratory develops machine learning approaches to analyze microbiome data and predict individual responses to dietary interventions and cancer therapies. He has contributed to understanding microbiome-immune interactions relevant to cancer immunotherapy outcomes. His interdisciplinary research combines computational approaches with clinical studies to understand how microbiome composition affects cancer risk and treatment.