Raghav Sehgal
Research Faculty at HealthyLongevity.clinic
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolRaghav Sehgal is a Yale University research faculty and Forbes 30 Under 30 honoree (Healthcare, 2025) who advances AI-driven multi-omic data science to clinical aging applications. He developed SYMPHONYAge, a patented biomarker that quantifies aging across 11 organ systems from a single blood draw and is commercialized by TruDiagnostic. In parallel, he leads data science at Healthy Longevity Clinic and serves as Principal Scientist at LongevityTech.fund, steering the integration of biological, digital, and clinical data to precision longevity strategies and venture diligence. His career includes founding data science at Elucidata, where he built ML pipelines for multi-omic data and helped translate tools into scalable drug-discovery platforms, followed by product leadership roles. A Yale Cancer Biology Training Program Fellow and Nature-published author, his honors include the Gruber Science Fellowship and Impetus Aging Grant, reflecting a track record of translating research into impact. Based in the New York City metropolitan area, he operates at the intersection of academia, venture, and clinical translational science, bridging science and strategy to accelerate aging research into real-world outcomes.
10 years of coding experience
4 years of employment as a software developer
Yale University
Hindi, French, English
Github Skills (8)
mass-spectrometry9
ms-data8
bioinformatics8
qt8
large-scale7
scale7
c-plus-plus6
data-processing6
Programming languages (2)
Github contributions (3)
ElucidataInc/ElMaven
Jun 2017 - Sep 2017
LC-MS data processing tool for large-scale metabolomics experiments.
Contributions:46 commits, 2 PRs, 16 pushes in 3 months
lc-msdata-processingms-datalc-msmsc-plus-plus
ElucidataInc/elucidatainc.github
Oct 2017 - Oct 2017
Website for El-Maven.
Contributions:6 comments, 4 issues in 1 day
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