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Raghav Sehgal, PhD

Associate Research Scientist
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About

Titles

Associate Research Scientist

Biography

I am a Forbes 30 Under 30 honoree and doctorate from Yale University specializing in Computational Biology, with over a decade of experience integrating Data Science and Artificial Intelligence into the biomedical field.

My current research focuses on human aging, and I also advise venture capital funds on investment opportunities in the longevity and geroscience space. Additionally, I advise and consult start-ups at the intersection of AI and longevity!

Last Updated on September 23, 2025.

Appointments

  • Psychiatry

    Associate Research Scientist
    Primary

Other Departments & Organizations

Education & Training

Yale Cancer Training Fellow
Yale Universit
PhD
Yale University, Computational Biology and Bioinformatics
MS
Yale University, Computational Biology and Bioinformatics
BTech
IIIT-D, Electronics Engineering

Research

Overview

As a scientist in Computational Biology and Bioinformatics at Yale, I am passionate about solving the mysteries of aging and extending healthy lifespans. I am developing machine learning and deep learning tools to analyze multi-omic and multi-modal data, and to answer questions such as what biological systems drive aging, how can we measure them, and can we reverse them. As part of my research I built SYMPHONYAge a patented biomarker that can measure aging in 11 different organs of your body from a single blood draw. The biomarker is available to patients and clinicians via TruDiagnostic where I also serve as a Scientific Advisory Board member. I am also a Yale Cancer Biology Training program fellow, where I learn about the practical clinical issues of oncology and prepare to lead translational research on teams that include both basic scientists and clinicians.

In addition to my academic research, I am a Scientific Principal at Longevity Tech Fund, a venture capital firm that focuses on investing in companies that are innovating in the fields of AI, digital health, medical devices, and diagnostics. I provide expert advice on their potential investment opportunities, and also helped them raise their second fund by building strategies for future investments. Beyond this, I have 10 years of experience in applying data science and artificial intelligence to the biomedical space, as a scientist, engineer, product manager, team builder, academician, and entrepreneur. I have worked on projects ranging from cancer prediction to metabolic regulation, and have published in prestigious journals such as Nature. I have also received multiple honors and awards, such as the Gruber Science Fellowship, Impetus Aging Grant and more.

Academic Achievements & Community Involvement

Honors

  • honor

    Forbes 30 under 30, 2025

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