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Raghav Sehgal, an Associate Research Scientist at Yale School of Medicine, specializes in Computational Biology with a decade of experience integrating Data Science and Artificial Intelligence into the biomedical field. His current research focuses on human aging, where he advises venture capital funds on investment opportunities in the longevity and geroscience space. Raghav develops machine learning and deep learning tools to analyze multi-omic data, aiming to address biological aging and its reverse. He is known for creating the SYMPHONYAge biomarker, which measures aging across 11 organs through a single blood draw, enhancing patient care and clinician capabilities. He is a fellow of the Yale Cancer Biology Training Program, preparing him to lead translational research that intersects basic science and clinical practice. In addition to his academic work, Raghav serves as a Scientific Principal at a longevity-focused venture capital firm, guiding strategy and investment decisions in AI and digital health. With a background in engineering and a published researcher in journals like Nature, he has received accolades such as the Gruber Science Fellowship and the Impetus Aging Grant. Raghav was also recognized as a Forbes 30 Under 30 honoree in 2025, highlighting his influence in the biotechnology sector.
Yale School of Medicine • New Haven, CT
Conduct research in Computational Biology, focusing on human aging and integrating AI into biomedical applications.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.