Speaker Profile
Ph.D., Head of Bioinformatics, TruDiagnostic
Biography
Varun Dwaraka is a bioinformatics researcher specializing in epigenetics and machine learning. He leads a team at TruDiagnostic which implements machine learning methods to identify epigenetic biomarkers, and generate predictive algorithms, which help understand the molecular biology of aging. These tools are then used to investigate associations of aging to an individual's disease, and overall mortality, risk. His work has been published in numerous peer reviewed publications, and has been patented. His work has been featured in periodicals (e.g., Forbes), documentaries (e.g., HBO and Netflix), and podcasts (e.g., Alldus International). In 2020, Dr. Dwaraka was elected as a full member to the Sigma Xi, The Scientific Research Honor Society, and served as a 2023 Foresight Fellow in Biotechnology and Health Expansion, awarded by the Foresight Institute. He also serves on Scientific Advisory Boards for various entities (e.g., SRW Labs) to which he offers insight into the application and interpretation of epigenetic age biomarkers.
Session Abstract – PMWC 2026 Silicon Valley
Track Chair:
Michael Goldman, SFSU
PMWC Award Ceremony
• David Sinclair, Harvard
• Steve Horvath, UCLA
• Nir Barzilai, Albert Einstein College of Medicine
AI-Driven Biomarkers to Quantify Aging
• Chair: Alex Zhavoronkov, Insilico Medicine
• Luigi Ferrucci, NIH
• Sara Hägg, Karolinska Institutet
• Steve Horvath, UCLA
Epigenetic Aging Signatures in Large Human Cohorts
• Varun Dwaraka, Trudiagnostic
AI Systems for Personalized Longevity: How Biomarkers Translate into Actionable Interventions
• Sherry Zhang, Buck Institute
• Nathan Price, THORNE
• Ranjan Sinha, digbi Health
Epigenetic Rejuvenation & Delivery for Clinical Translation
• Ryan (Yuancheng) Lu, Whitehead Institute/MIT
• David Sinclair, Harvard
Clinical Trial Design & Functional Endpoints for Healthspan
• Nir Barzilai, Albert Einstein College of Medicine
Precision Aging & Longevity: Limited Lifespan Evidence, Vanishing Blue Zones, and Payer ROI
• S. Jay Olshansky, University of Illinois
• Michael Gurven, UC Santa Barbara
