Summary
Mahdi Moqri is a biomedical informatics researcher and faculty investigator at Harvard Medical School with 11 years of experience building multi-omic and AI-driven biomarkers of aging. He has led cross-institutional programs with Stanford, the Broad Institute, and NIA to create integrative methylation, transcriptomic, proteomic and lipidomic clocks, including a patent-pending Immune Aging Epigenetic Panel and the first longitudinal Longevity Biobank. Comfortable at the intersection of wet lab and computation, he develops algorithms for whole-genome methylation, cfDNA and liquid biopsy analyses and has translated methods into industry collaborations and advisory roles for XPRIZE, AFAR, and biotech startups. He co-directs the Biomarkers of Aging Consortium, has raised significant funding and organized large conferences, and brings rare end-to-end expertise from algorithm design to cohort deployment. Notably, his work includes AI reconstruction of epigenetic landscapes in blood and practical tools to guide epigenetic reprogramming, reflecting a focus on translational impact.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Information Systems, Doctor of Philosophy (PhD), Information Systems at University of Florida
Bachelor of Science - BS`, Computer Science, Bachelor of Science - BS`, Computer Science at Sharif University of Technology
Master of Liberal Arts, Biology, Master of Liberal Arts, Biology at Harvard Extension School
Master of Business Administration (MBA), Concentration in Information Systems & Finance, 4.0, Master of Business Administration (MBA), Concentration in Information Systems & Finance, 4.0 at University of Massachusetts Boston
Master of Science, Biomedical Informatics, Master of Science, Biomedical Informatics at Stanford University
English, Persian