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 Speaker Profile

Ph.D., Staff Research Scientist, Google

Biography
Ahmed Metwally is a Staff Research Scientist at Google, where he leads the Metabolic Health AI research program. His research focuses on developing models that leverage large-scale physiological and behavioral data to enable the early detection and personalized treatment or prevention of cardiometabolic diseases. He completed his postdoctoral work in the Snyder Lab at Stanford University. He holds a Ph.D. in Biomedical Engineering and an M.S. in Computer Science, both from the University of Illinois at Chicago. He has over 80 publications in prestigious journals, including Nature and Science. He is a co-inventor on nine patents. Ahmed has received numerous honors, including the IEEE EMBS Rising Star Award, the Stanford RISE Award, and the NIH Predoctoral Translational Scientist Fellowship. He was recently elected VP of Conferences for IEEE EMBS. His research has been covered internationally by news outlets, including The New York Times.


 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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