Speaker Profile
Ph.D., Professor, Columbia U.
Biography
Dan Belsky is Associate Professor of Epidemiology at the Columbia University Mailman School of Public in the Robert N. Butler Columbia Aging Center, where he directs the Center’s Geroscience Computational Core. His group develops methods to quantify the pace and progress of biological aging in young, midlife, and older adult humans and applies these methods in epidemiological studies and clinical trials to identify opportunities for intervention to increase healthy lifespan. Dan has been recognized as a leader in his field with the Academy of Behavioral Medicine’s Neal Miller New Investigator Award and the American Federation for Aging Research’s Vincent Cristofalo Rising Star Award. His work is supported by the US National Institute on Aging, the Advanced Research Projects Agency for Health (ARPA-H), the Canadian Institute for Advanced Research, and the American Federation for Aging Research (AFAR), among other sources. He is co-director of the AFAR FAST Initiative and a member of the Scientific Advisory Boards of AFAR, the Biomarkers of Aging Consortium, and X-Prize Healthspan. He is an inventor of the Pace of Aging method and the DunedinPACE epigenetic clock. Since 2020, he has been named an ISI highly-cited researcher.
Session Abstract – PMWC 2027 Silicon Valley
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.
• 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
