Eran Segal

Israeli computational biologist From Wikipedia, the free encyclopedia

Eran Segal (Hebrew: ערן סגל; born 15 November 1973) is a computational biologist professor at the Weizmann Institute of Science.[3] He works on developing quantitative models for all levels of gene regulation,[4] including transcription, chromatin, and translation.[5][6][7] In 2006, Segal and Jonathan Widom of Northwestern University published a model of nucleosome positioning along DNA in Nature.[8] Segal also works as an epidemiologist.[9]

Education

Segal earned a BA in Computer Science and Economics from Tel Aviv University in 1998.[3]

He earned a PhD from Stanford University in 2004 advised by Daphne Koller with a dissertation titled: Rich Probabilistic Models for Genomic Data.[10] In support of his graduate study at Stanford he received a Fulbright Foreign Student Program grant in 1999.[11]

Career

After completing his Ph.D., Segal held a postdoctoral research position at Rockefeller University from 2004 to 2005 before joining the Departments of Computer Science and Applied Mathematics and of Molecular Cell Biology[12] at the Weizmann Institute of Science in 2005.[13]

A 2015 study in Cell by Segal and colleagues showed that glucose responses to identical foods vary substantially between individuals.[14][15] In 2018, Segal launched the Human Phenotype Project at the Weizmann Institute. The longitudinal cohort study collects genomic, microbiome, continuous glucose monitoring, imaging, and lifestyle data from participants across 17 body systems over a 25-year period, with more than 28,000 participants enrolled as of 2025.[16][17]

As of 2025, Segal serves as Acting Dean of the School of Digital Public Health and Professor of Computational Biology at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).[18][19]

Awards and honors

References

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