Scholars@Duke
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Matthew M. Engelhard

Matthew M. Engelhard

Assistant Professor of Biostatistics & Bioinformatics
Biostatistics & Bioinformatics, Division of Translational Biomedical
2424 Erwin Rd, Durham, NC 27705

Overview

Developing new machine learning methods for multi-modal longitudinal clinical data to support clinical decision-making.

Current Appointments & Affiliations

Assistant Professor of Biostatistics & Bioinformatics · 2022 - Present Biostatistics & Bioinformatics, Division of Translational Biomedical, Biostatistics & Bioinformatics
Assistant Professor in the Department of Electrical and Computer Engineering · 2025 - Present Pierre R. Lamond Department of Electrical and Computer Engineering, Pratt School of Engineering

In the News

Published October 1, 2025
New AI Method Excels at Predicting Disease Risk from Clinical Notes
Published September 22, 2025
Duke Team Expands AI Tool to Predict Teen Mental Illness
Published September 5, 2025
Machine Learning Model Improves on Long-Term Diagnosis Prediction

View All News

Recent Publications

Can Large Language Models Predict Patient Treatment Choices? A Discrete Choice Experiment Framework.

Journal Article Value Health · May 5, 2026 OBJECTIVES: This study evaluated the viability of large language models, specifically GPT-4, in predicting patient health preference-consistent choices using a discrete choice experiment framework. METHODS: Synthetic data were generated from real discrete ... Full text Link to item Cite

Performance of PREVENT Cardiovascular Risk in Electronic Health Record-Based Clinical Practice.

Journal Article JAMA Netw Open · April 1, 2026 IMPORTANCE: In 2023, the American Heart Association Cardiovascular-Kidney-Metabolic Scientific Advisory Group introduced the Predicting Risk of Cardiovascular Disease Events (PREVENT) equations, a race-free, sex-specific model for cardiovascular disease (C ... Full text Link to item Cite
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Recent Grants

Computational Biology and Bioinformatics Training Grant

Inst. Training Prgm or CMEMentor · Awarded by National Institutes of Health · 2026 - 2031

Digital Envirotyping to Develop Understanding of Cigarette smoking and the Environment

ResearchCo Investigator · Awarded by National Institute on Drug Abuse · 2025 - 2030

Leveraging Artificial Intelligence to Predict Mental Health Risk among Youth Presenting to Rural Primary Care Clinics

ResearchCo-Principal Investigator · Awarded by National Institutes of Health · 2025 - 2029

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Education

University of Virginia · 2016 Ph.D.
University of Virginia · 2014 M.D.