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
Experience

Stanford University School of Medicine
- Staff Data Scientist, Research & Clinical Trials2026 – Present
- Senior Data Scientist, Research & Clinical Trials2022 – 2026
- Research Data Scientist, Ophthalmology2020 – 2022

Truveta Inc.
- Principal Machine Learning Engineer, AI2026 – Present
- Senior Data Scientist & ML Engineer, AI2022 – 2026

U.S. Department of Veterans Affairs
- Research Data Scientist2021 – Present

American Family Insurance
- Data Scientist Intern2019

University of Louisiana at Lafayette
- Graduate Research & Teaching Assistant2016 – 2020

Temple University
- Graduate Research & Teaching Assistant2015 – 2016

King Fahd University of Petroleum & Minerals
- Graduate Research & Teaching Assistant2013 – 2015

Grameenphone
- Senior Software Engineer2010 – 2013
Recent Publications
- 2026 Burden of Pseudoexfoliation and Pigmentary Glaucoma among American Indian or Alaska Native Patients. Ophthalmology Science.
- 2025 Incidence of Endophthalmitis after Cataract Surgery in the Setting of Uveitis and Immunosuppressive Therapy within the IRIS® Registry. Ophthalmology.
- 2025 Likelihood of Corneal Transplantation after Tube versus Trabeculectomy: An IRIS® Registry Study. Ophthalmology Glaucoma.
- 2025 Utilization Patterns and Costs of Ocular Amniotic Membrane Grafts in the Medicare Population. Ophthalmology.
- 2025 Disparities in Childhood Blindness Resulting from Retinopathy of Prematurity Using the IRIS® Registry. Ophthalmology.
- 2025 Predicting Early-Onset Colorectal Cancer with Large Language Models. arXiv.
- 2025 Development and Validation of ML Risk Prediction Models for Detection of Early-Onset Colorectal Cancer. Journal of Clinical Oncology.
- 2023 Causes of Childhood Blindness in the United States Using the IRIS® Registry. Ophthalmology.
- 2023 Identification of Fraudulent Healthcare Claims Using Fuzzy Bipartite Knowledge Graphs. IEEE Trans. Services Computing.
- 2023 Efficacy of Confinement Policies on COVID-19 Spread Dynamics. Intelligent Data Analysis.
- 2022 Predicting Acute Endophthalmitis for Patients with Cataract Surgery Using Hierarchical and Probabilistic Representation of Clinical Codes. IEEE ICSC.
- 2022 Negative Insurance Claim Generation via Distance Pooling on Bipartite Graphs. ACM JDIQ.
- 2022 Byte Embeddings for File Fragment Classification. Elsevier FGCS.
- 2021 Identifying Health Insurance Claim Frauds Using Mixture of Clinical Concepts. IEEE Trans. Services Computing.
- 2021 Beyond Word Embeddings: Temporal Representations via Google Trends. IEEE ICSC.
Patents
- Apparatus and method of sensor deployment. view
- Wireless method for deploying and identifying sensors by a robot. view
- Method of routing for wireless ad hoc and sensor networks. view
- Geographic location aware routing for wireless sensor networks. view
- Sensor node for selecting and transmitting a data packet to a relay node. view
- Density-based method for selecting a relay node. view