Ohad Manor is an AI and data science leader with 12 years of experience applying computational biology, bioinformatics, and machine learning to translate complex biological data into product-ready clinical and wellness solutions. As VP of Computational Precision Health at Thorne he co-led commercialization of an AI wellness advisor and built large-scale simulation, claims-assessment, and conversation analytics platforms that operationalize compliance and personalization across R&D, Product, and Regulatory. He has repeatedly built and scaled data science teams and cloud-native bioinformatics infrastructure for therapeutics and diagnostics—from IND-supporting NGS pipelines to biomarker and microbiome models—and consults for multiple healthtech and longevity startups. Trained as a PhD in mathematics and computer science from the Weizmann Institute, Ohad blends deep quantitative rigor with product-focused execution and a knack for turning regulatory constraints into automated workflows that speed go-to-market.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.Sc.), Computational Biology, Bachelor of Science (B.Sc.), Computational Biology at The Hebrew University of Jerusalem
Doctor of Philosophy (PhD), Mathematics and Computer Science, Doctor of Philosophy (PhD), Mathematics and Computer Science at Weizmann Institute of Science
Certificate in Technology Leadership, Certificate in Technology Leadership at Cornell University
Contributions:7 releases, 282 commits, 284 pushes in 1 year 9 months
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Ohad Manor - Vice President, Computational Precision Health