Eran Segal is a scientist at the Weizmann Institute focusing on microbiome, genetics, nutrition, and machine learning. He leads impactful research on biological aging, including a large-scale study published in Nature Aging analyzing data from 13,000 people to develop biological clocks for multiple body systems. His work elucidates disease risk factors and gender differences in aging, establishing him as a recognized expert in computational biology and aging research.

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