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 Speaker Profile

Ph.D., Professor and Bioinformatics Core Director, Buck Inst.

Biography
Dr. David Furman is an academic entrepreneur committed to addressing societal and scientific challenges within the human exposome, systems medicine, translational immunology, preventative healthcare, aging biology, and precision longevity. As the Director of the Stanford 1000 Immunomes Project (Stanford University) and Professor and Director of the Bioinformatics and Data Science Core (Buck Institute for Research on Aging), Dr. Furman leads research leveraging multi-scale biology ('omics') platforms and advanced AI/ML methodologies in human cohorts. With over 15 years of specialization in exposomic mechanisms leading to age-related chronic inflammation, his multi-domain expertise includes brain aging, cardiovascular health, metabolic disease and functional aging (decline in intrinsic capacity). Dr. Furman has published over 65 scientific articles in top-tier journals such as Cell, Nature Medicine, PNAS, The Lancet, and others, has collaborated with NASA and SpaceX, and is the inventor of over 20 patents.


 Session Abstract – PMWC 2027 Silicon Valley

Track 4: Integrated PM - Jan 29 9.00 A.M.-4.30 P.M.


Track Chair:
Michael Goldman, SFSU

PMWC Award Ceremony
• David Sinclair, Harvard
• Steve Horvath, Altos Labs
• Nir Barzilai, Albert Einstein College of Medicine

AI-Driven Biomarkers to Quantify Aging
• Chair: Alex Zhavoronkov, Insilico Medicine
• Mahdi Moqri, Harvard
• Steve Horvath, Altos Labs
• Hussain Ahamed, Ultrahuman

Epigenetic Aging Signatures in Large Human Cohorts
• Varun Dwaraka, TruDiagnostic

AI Systems for Personalized Longevity: How Biomarkers Translate into Actionable Interventions
• Chair: Nathan Price, Buck Institute • Sherry Zhang, Buck Institute
• Ranjan Sinha, Digbi Health
• Zeenia Framroze, Alethios, Inc. Telomere Extension Clinical Trials Under LARTA/FDA
• John Ramunas, Rejuvenation Technologies

Clinical Trial Design & Functional Endpoints for Healthspan
• Nir Barzilai, Albert Einstein College of Mediciney

The data We Need For AI To Accelerate Longevity Drugs
• Martin Jensen, Gordian Biotechnology

From Genome to an AI-Drive Longevity Platform
• Wei-Wu He, Human Longevity

Wellness Wearables: The Journey to Clinical
• Hussain Ahamed, Ultrahuman

Longevity Medicine: Ambition vs Evidence in the Era of Precision Health
• Aubrey de Grey, LEV Foundation

Precision Aging & Longevity Focused on Limited Lifespan Evidence, Vanishing Blue Zones, and Payer ROI
• S. Jay Olshansky, University of Illinois

Evolutionary perspectives on human lifespan and healthspan
• Michael Gurven, UC Santa Barbara

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PMWC 2027 Jan. 27-29 • Santa Clara
15 tracks • 400 speakers Co-hosted by Stanford/UCSF/Yale • Davos of PM
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