Eran Segal (Hebrew: ערן סגל; born 15 November 1973) is a computational biologist professor at the Weizmann Institute of Science.
[2] He works on developing quantitative models for all levels of gene regulation,[3] including transcription, chromatin, and translation.
Segal is a proponent of the idea there is no "one size fits all" diet, in the sense that people will respond differently to certain types of food.
He hypothesized that personalized food plans based on further research could be beneficial in reducing the occurrence of diabetes.
Later, he employed blood DNA testing, feces analysis (gut bacteria) to gather data which was analysed with a machine learning method to create personalized diets that were expected to improve glucose responses after eating.