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Amanda Randles

Professor of Biomedical Engineering
Biomedical Engineering
Box 90281, Durham, NC 27708
Wilkinson Building, Room No. 325, 534 Research Drive, Durham, NC 27708

Overview


My research in biomedical simulation and high-performance computing focuses on the development of new computational tools that we use to provide insight into the localization and development of human diseases ranging from atherosclerosis to cancer.

Current Duke Appointments & Affiliations


Professor of Biomedical Engineering · 2026 - Present Biomedical Engineering, Pratt School of Engineering
Assistant Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science · 2022 - Present Thomas Lord Department of Mechanical Engineering and Materials Science, Pratt School of Engineering
Associate Professor of Computer Science · 2025 - Present Computer Science, Trinity College of Arts & Sciences
Member of the Duke Cancer Institute · 2015 - Present Duke Cancer Institute, Institutes and Centers

Recent News Items


Published May 21, 2026
Resilience and Optimism at Duke’s 2026 Research Summit
Published April 10, 2025
New Center Brings Technological Advances to the Future of Health Care
Published March 12, 2025
Creating Digital Twins to Save Lives

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Recent Scholarly Works


An adaptive physics refinement framework to investigate red blood cells' impact on adhesive tumor cell transport.

Journal article Biomech Model Mechanobiol · September 9, 2026 Red blood cells play a dominant mechanical role in blood flow and strongly influence the transport and arrest of circulating tumor cells during metastasis. Circulating tumor cells (CTCs) are subject to physical interactions with blood components and adhesi ... Full text Link to item Cite

Optimizing Non-invasive Fractional Flow Reserve Estimation with Machine Learning-Enhanced 1D Hemodynamic Modeling.

Journal article Cardiovascular engineering and technology · August 2026 Patient-specific computational models exhibit strong concordance with invasively measured fractional flow reserve (FFR)-the clinical gold standard for diagnosing coronary ischemia. However, current modeling techniques frequently rely on computationally int ... Full text Cite

Physiological Assessment of Coronary Artery Disease.

Journal article The New England journal of medicine · July 2026 Full text Cite
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Recent Grants


Category I: MAIDAS: A Federated National AI-ready Data Ecosystem for Discovery, Innovation, Education, and Workforce Development

ResearchPrincipal Investigator · Awarded by University of California - San Diego · 2026 - 2031

iPediHeart: Interdisciplinary Research Training Program for Pediatric Heart Disease

Inst. Training Prgm or CMEMentor · Awarded by National Heart, Lung, and Blood Institute · 2025 - 2030

FDT-BioTech: Scalable Digital Twins to Power Virtual Trials and Test Treatments

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2025 - 2028

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Education


Harvard University · 2013 Ph.D.