Eran Segal

Eran Segal
Nationality	Israeli
Institutions	Weizmann Institute of Science
Alma mater	Stanford University Tel Aviv University
Doctoral advisor	Daphne Koller
Notable awards	Overton Prize

Eran Segal is a computational biologist at the Weizmann Institute of Science. He works on developing quantitative models for all levels of gene regulation, including transcription, chromatin, and translation.

He gained his BA in Computer Science and Economics from Tel Aviv University in 1998 and his PhD from Stanford University in 2004 advised by Daphne Koller. In 2007 he was awarded the Overton Prize by the International Society for Computational Biology. In 2011 he was made a professor at the Weizmann Institute of Science.

Segal has shown that there is no "One size fits all" diet, and that the very same foods can be good for some and bad for others.

Using continuous glucose monitoring and food journals, he has shown that the glucose spike after the same foods differs significantly between people. This means that personalized food plans can help fight diabetes, possibly with much less effort than usual diets.

Later, he used blood DNA testing, feces analysis (gut bacteria) along with neural networks learning to be able to predict what diet will be optimal for each person in terms of post-pranial glucose reaction.

This method was tested and shown to work on out of sample 100 new persons.

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