Dr. Mahdi Moqri
Mahdi Moqri, Ph.D., MBA is Faculty Member, Instructor in Medicine, and Investigator at the Harvard Medical School at Brigham and Women’s Hospital. He is joint Research Fellow and Instructor in Aging Research at Harvard’s Gladyshev Lab and Stanford’s Snyder Lab. He is the Co-director of the Biomarkers of Aging Consortium and is leading their executive committee.
Mahdi is a 2024 Fellow at Foresight Institute. His work focuses on developing and validating blood-based biomarkers of aging using omics.
Mahdi mentors students and advises companies in longevity, omics, biomarkers, bioinformatics, and computational and system biology. He is Advisor to the Methuselah Foundation, Longevity Prize, Amaranth Prize, VitaDAO, Longevity Biotech Fellowship, Mitra Bio, and Velux Stiftung Foundation.
As the Director of Biomarkers of Aging Consortium, Mahdi leads international academia-industry collaborations to validate biomarkers of healthy aging for clinical studies, published in Cell and Nature Medicine. He has raised over $700,000, hosted $200,000 prize challenges, and developed software libraries. He hosted the 2023 Biomarkers of Aging Conference.
Since April 2024, Mahdi has been the Investigator, Instructor of Medicine, and Faculty Member at Harvard Medical School.
Since 2020, Mahdi has been working at the Stanford University School of Medicine. He was NLM T15 Postdoctoral Fellow in Biomedical Informatics at Stanford School of Medicine from 2020 to 2022 and NIH T32 Postdoctoral Fellow in Aging Research at the Institute for Stem Cell Biology and Regenerative Medicine and Stanford Department of Genetics from 2022 to 2023 when he was also Visiting Scholar at Harvard.
Since 2023, Mahdi has been a Research Staff on Multi-Omics Biomarkers, a joint position with Harvard. He leads the research program on longitudinal multi-omic biomarkers of aging using cohort studies.
He developed and patented machine-learning methods for DNA methylation sequencing data, established the first lipidomics of aging using more than 1000 lipid species in human blood, and developed whole-genome methylome methods to guide epigenetic reprogramming.
Read Dynamic lipidome alterations associated with human health, disease and ageing and PRC2 clock: a universal epigenetic biomarker of aging and rejuvenation.
Before joining Stanford in 2020, Mahdi was Assistant Professor of Information Systems at Iowa State University between 2018 and 2020. His research was focused on Health Analytics and Medical Informatics and he has led an interdisciplinary research group to develop predictive models for ICU patients.
Mahdi earned his Master’s Degree of Science in Biomedical Informatics in 2022 from Stanford University.
Mahdi earned his Ph.D. in Information Systems from Warrington College of Business at the University of Florida in 2016. He worked at the ISOM Data Analytics Research Lab. He earned his MBA in 2013 with a concentration in Information Systems and Finance from the College of Management at UMass Boston developing a prediction model for hospitals. His thesis was titled Predicting Hospital Admissions for Emergency Department Patients Using Neural Network Modeling.
Mahdi earned his Bachelor’s Degree of Science in Computer Science from Sharif University of Technology in 2008.
Previously, Mahdi was a computer scientist, holding a faculty position in health informatics.
He was a Data Science Fellow in 2016 at the Data Science for Social Good Fellowship at Georgia Tech working on Public Transit and Job Accessibility. In 2015, Mahdi was Data Science Fellow at The Eric & Wendy Schmidt Data Science for Social Good at the University of Chicago.
Mahdi was an invited Speaker at Boston Computational Biology Society, Seno-Therapeutics Summit, Healthy Longevity, ASHG Annual Meeting, EARD, Biology of Aging Symposium, and at Longevity Frontiers. He was also invited to talk on on Epigenetics of Aging at Harvard Medical School, Department of Genetics.
Watch The Biomarkers of Aging Consortium @ Longevity Frontiers Workshop 2023, The Biomarkers of Aging Consortium, Characterisation and Validation of Biomarkers of Ageing, and V. Gladyshev, M. Moqri, V.Sebastiano | Quantifying Aging.
Read Biomarkers of aging for the identification and evaluation of longevity interventions.
Visit his LinkedIn profile and About.me profile. Visit his Homepage, PubMed page, ORCiD page, Semantic Scholar page, and Google Scholar page. Follow him on GitHub, dblp, Facebook, Instagram, and Twitter.
