Mahdi Moqri, PhD, MBA
I am a joint Research Fellow in Aging Research at Harvard (Gladyshev Lab, Genetics) and Stanford (Snyder Lab, Genetics), leading the executive committee of the Biomarkers of Aging Consortium.
I am also leading the execute committee of the Biomarkers of Aging Consortium, to establish reliable biomarkers for longevity interventions.
This year, I'm devoting 1 day/week to mentoring, advising, or consulting in longevity, omics biomarkers, computational biology, and bioinformatics. My service to nonprofits is free of charge.
Longevity: Methuselah Foundations, Longevity Prize, Amaranth Prize, VitaDAO, Longevity Biotech Fellowship
Students: Tara Murty (Stanford), Bryce Tiglon (Stanford), Shulin Mao (Harvard)
Selected longevity startups
I was an 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.
I was an NLM T15 Postdoctoral Fellow in Biomedical Informatics at Stanford School of Medicine from 2020 to 2022.
I served as an Assistant Professor of Information Systems at Iowa State University, before joining Stanford. My research was focused on Health Analytics and Medical Informatics.
I received my PhD in Information Systems from Warrington College of Business, at University of Florida
Summer 2016: Data Science Fellow at Data Science for Social Good Fellowship at Georgia Tech working on Public Transit and Job Accessibility
Summer 2015: Data Science Fellow at "The Eric & Wendy Schmidt Data Science for Social Good" at University of Chicago
I received my MBA with a concentration in Information Systems from the College of Management at UMass Boston developing a prediction model for hospitals
02/2023 Launching Biomarkers of Aging Consortium - Foresight Webinar
10/2022 6th Northeast Glenn Foundation Symposium on the Biology of Aging at Yale University.
08/2022 Cold Spring Harbor Laboratories (CSHL) Mechanisms of Aging Presentation on Epigenetics of Aging
08/2022 Invited talk on Epigenetics of Aging at Harvard Medical School, Department of Genetics
06/2022 Gordon Research Conference (GRC) Biology of Aging, "PRC2 clock: a universal biomarker of aging and rejuvenation"
05/2022 "AgeIndex: A Whole-Genome Epigenetic Aging and Rejuvenation Index" Stanford Office of Licencing Technology
04/2022 NIH T32 Postdoctoral Fellowship in Aging Research - Stanford, School of Medicine
05/2020 NLM T15 Postdoctoral Trainee Fellowship in Biomedical Informatics - Stanford, School of Medicine
2017 Invited faculty talks at Suffolk U, Virginia Tech U, Iowa State U, Florida State U, Oklahoma State U, Utah State U, Université libre de Bruxelles, Brusells
09/2017 University of Florida “ISOM Department Teaching Award”
09/2016 Outstanding international student award, University of Florida
04/2016 Presenting at UF ISOM Forum
10/2015 Big Data meets a social network
"Biomarkers of Aging for Identification and Evaluation of Longevity Interventions," w Eric Verdin, Andrea Maier, Mike Snyder, Vittorio Sebastiano, Vadim Gladyshev, et al. under review
“PRC2 clock: a universal biomarker of aging and rejuvenation” with A. Cipriano, S. Horvath, V. Sebastiano, M. Snyder, et al. under review
“ClockBase: a comprehensive platform for biological age profiling in human and mouse” w A. Ying, V. Gladyshev
"Nature of epigenetic aging from a single-cell perspective" w A. Tarkhov, V. Glayshev, et al.
"AgeIndex: A Whole-Genome Epigenetic Aging and Rejuvenation Index" Stanford Office of Licencing Technology
"DNA Methylation Landscape as a Function of Genomic Contexts and Age" working paper
“The Blood Plasma Lipidome: Distinct Molecular signatures delineate metabolic health in a cross-sectional human cohort” with D. Hornburg, M. Snyder, et al. under review.
“Epigenetic Reprogramming for Rejuvenation - New Insights into Mechanisms and Pathways” with D. Sinclair Lab (Harvard), working paper.
“In vitro differentiation and epigenetic characterization of human Embryonic Stem Cells, into Pharyngeal endoderm cells” with: A. Cipriano, V. Sebastiano, et al. working paper
“Epigenetic reprogramming of aging (ERA) reverses known transcriptional signatures of aging” with: A. Cipriano, V. Sebastiano, et al. working paper
“E-CatBoost: An efficient machine learning framework for predicting ICU mortality using the eICU Collaborative Research Database” PLOS ONE
“Association Between Prescription Opioid Misuse and Suicide Planning in the United States” with J. Pathak, et al. under review
“In-depth Evaluation of APACHE Scoring System Using eICU Database.” Proceeding of ICIS 2020
“An Exploratory Analysis of Electronic Intensive Care Unit (eICU) Collaborative Research Database.” Proceedings of ICIS 2020
Stanford University (2020 – 2022)
BIOMEDIN 205: Precision Practice with Big Data - Instructing TA
STEMREM200 - Lectures on Epigenetics of Reprogramming
Iowa State University (2018 – 2020)
Fundamental of Business Analytics (graduate course in R and Python)
Database Management Systems (using Oracle)
University of Florida (2015 - 2018)
Business Systems 1 and 2 - (Programming in JAVA and C#)
MIT Broad: email@example.com