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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


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

GPU Halo Replay: Lossless Twin Simulations for Flexible In Situ Analysis of Stencil-Based Solvers

Conference Pasc 2026 Platform for Advanced Scientific Computing Conference · June 28, 2026 We introduce GPU Halo Replay, a solver-aware in situ framework for stencil-based applications that creates a lossless simulation "twin"for advanced visualization and analysis. By decoupling analysis from the primary simulation and delegating it to dedicate ... Full text Cite
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Recent Grants


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

Dynamic models of the cardiovascular system capturing years, rather than heartbeats

ResearchPrincipal Investigator · Awarded by National Institute on Aging · 2022 - 2027

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Education


Harvard University · 2013 Ph.D.