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Tomer Segev is a PhD student at the Weizmann Institute of Science in the Faculty of Mathematics and Computer Science, Department of Computer Science and Applied Mathematics. He is a member of the Segal Lab, supervised by Professor Eran Segal, focusing on computational biology.
Segev earned a B.Sc. in Computer Science and Bioinformatics. His research contributions include co-authorship on studies examining diet-microbiome associations in over 10,000 individuals from the Human Phenotype Project and deep phenotyping of the health-disease continuum, published in Nature Medicine in 2025 and 2026.
Explore the groundbreaking Weizmann Institute research showing diet influences 92% of gut bacteria, with implications for personalized nutrition and health.
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