Enamul Haque, PhD

Staff Data Scientist, Stanford University School of Medicine · Principal Machine Learning Engineer, Truveta Inc.

I work on bioinformatics, NLP, and statistical learning for precision medicine—graph machine learning and statistical modeling across EHR, clinical trials, genomics, and healthcare data—with research at the intersection of aging, dementia, and ocular disease.

Palo Alto, CA · enamulh [@] stanford.edu · LinkedIn · Google Scholar Stanford Medicine Stanford
Enamul Haque

Experience

Stanford University School of Medicine Palo Alto, CA · 2020 – Present
  • Staff Data Scientist, Research & Clinical Trials2026 – Present
  • Senior Data Scientist, Research & Clinical Trials2022 – 2026
  • Research Data Scientist, Ophthalmology2020 – 2022
Truveta Inc. Bellevue, WA · 2022 – Present
  • Principal Machine Learning Engineer, AI2026 – Present
  • Senior Data Scientist & ML Engineer, AI2022 – 2026
U.S. Department of Veterans Affairs Palo Alto, CA · 2021 – Present
  • Research Data Scientist2021 – Present
American Family Insurance Chicago, IL · 2019
  • Data Scientist Intern2019
University of Louisiana at Lafayette Lafayette, LA · 2016 – 2020
  • Graduate Research & Teaching Assistant2016 – 2020
Temple University Philadelphia, PA · 2015 – 2016
  • Graduate Research & Teaching Assistant2015 – 2016
King Fahd University of Petroleum & Minerals Dhahran, Saudi Arabia · 2013 – 2015
  • Graduate Research & Teaching Assistant2013 – 2015
Grameenphone Dhaka, Bangladesh · 2010 – 2013
  • Senior Software Engineer2010 – 2013

Recent Publications

Patents