Speaker Profile
Ph.D., PHARMD, Assistant Professor, Amsterdam UMC
Biography
Fariba Ahmadizar is an epidemiologist working at the forefront of diabetes precision medicine and cardiometabolic research. Her work integrates multi-omics data, including genomics and metabolomics, with clinical, environmental, and pharmacological information to identify biomarkers that improve risk prediction, prevention, and treatment strategies in diabetes and related disorders. She leads multiple international research initiatives investigating the role of glucose dysregulation and glycemic variability in cognitive decline and dementia, advancing understanding of metabolic drivers of brain health.
Her research applies advanced epidemiological and data-driven methods to real-world and multi-omics datasets to generate clinically actionable insights for precision medicine. She serves as principal investigator in several national and international consortia and is actively involved in academic teaching, scientific coordination, and mentorship.
Her work bridges epidemiology, molecular data science, and clinical practice to advance personalized approaches to diabetes care, cardiometabolic disease prevention, and cognitive health.
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
