Currently visiting t Harvard Medical School, working with Gladyshev and Sinclair labs while finishing my degree in Biology at Harvard

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

I received my MBA with a concentration in Information Systems from the College of Management at UMass Boston developing a prediction model for hospitals


  • “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


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#)


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"