Raghav Sehgal is a research faculty member at Yale and a Forbes 30 Under 30 (Healthcare, 2025) honoree who translates AI and multi-omic data science into clinical tools for human aging. He developed a patented blood-based biomarker now commercialized as SYMPHONYAge and builds models that quantify and modulate biological aging across organ systems to serve as surrogate endpoints for gerotherapeutic trials. Combining over a decade of experience across computational biology, product leadership, and venture science, he directs data science at the Healthy Longevity Clinic and leads scientific diligence at LongevityTech.fund. His background spans hands-on ML for multi-omics at Elucidata to translational oncology training at Yale, giving him a rare mix of bench-to-market fluency. Notably, he bridges academic publishing and commercial impact—shaping investments, diagnostics, and precision longevity frameworks that accelerate aging research into real-world interventions.
10 years of coding experience
4 years of employment as a software developer
Sanskriti school
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Yale University
Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering, Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering at Indraprastha Institute of Information Technology, Delhi
R package for calculation of numerous epigenetic clocks, including cutting-edge algorithms such as PC clocks, SystemsAge clocks, CausalAge clocks, DunedinPACE.
Contributions:9 PRs, 6 pushes, 5 branches in 1 month
LC-MS data processing tool for large-scale metabolomics experiments.
Contributions:46 commits, 2 PRs, 16 pushes in 3 months
ms-datametabolomicsmass-spectrometrylc-msqt
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