MAHDI MOQRI, PhD
Academic
I am an NIH T32 Postdoctoral Fellow in Aging Research at Stanford University School of Medicine. I currently work at the Institute for Stem Cell Biology and Regenerative Medicine and Stanford Department of Genetics.
My current research is in multi-omics, in particular epigenomics of aging with Sebastiano Lab. My previous rotations were with Snyder Lab, Gavaert Lab, and Montgomery Lab.
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 2017: volunteer research assistant with Data-Smart City Solutions , Harvard Kennedy School working on 311 data
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
Research
“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.
“AgeIndex, a whole-genome epigenetic aging and rejuvenation index” with: A. Cipriano, S. Horvath, V. Sebastiano, M. Snyder, et al. prepare for submission
“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
“An interpretable machine learning approach for predicting ICU mortality using the eICU collaborative research database” with N. Safaee et al. in press, 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
Teaching
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#)
News
04/2022 NIH T32 Postdoctoral Fellowship in Aging Research - Stanford, School of Medicine
12/2019 NLM T15 Postdoctoral Trainee Fellowship in Biomedical Informatics - Stanford, School of Medicine
12/2017 Invited talk at Sawyer School of Business, Suffolk
11/2017 Invited talk at Pamplin College of Business - Virginia Tech
11/2017 Invited talk at Ivy College of Business
11/2017 Invited talk at FSU College of Business
10/2017 Invited talk at Spears School of Business
09/2017 Invited talk at Jon Huntsman School of Business
09/2017 Invited talk at Solvay Business School, Brusells
09/2016 Outstanding international student award, University of Florida
09/2017 University of Florida “ISOM Department Teaching Award - Spring 2017”
04/2016 Presenting at UF ISOM Forum
10/2015 Big Data meets a social network
10/2015 Data Ambassador at DataKind - Taproot Foundation Project
06/2015 DSSG Team Finishes 2nd at Civic Hacking Event
03/2015 Data science mentor at Cornell's Data Science Hackathon
11/2014 Third place Winner in Interactive Sessions at INFORMS 2014
10/2014 Winner of the "Most Promising Research Advancing Science" at Teradata 2014
02/2014 Second place winner - Hoggetowne Hack 2014
01/2014 Winner of Innocentive Ideation Challenge: “Technology to Enable the Assessment of Student Speaking Performances"
09/2013 Beta Gamma Sigma, the premier honor society recognizing business excellence
08/2013 Honors Master's Thesis: "Predicting Hospital Patients’ Admission to Reduce Emergency Department Boarding"
Email: moqri@stanford.edu
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