Amanda Randles, Alfred Winborne and Victoria Stover Mordecai Assistant Professor of Biomedical Sciences

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. 

Office Location:	Wilkinson Building, Room No. 325, 534 Research Drive, Durham, NC 27708
Office Phone:	(919) 660-6962
Email Address:

Teaching (Fall 2025):

• BME 307.01, TRNSPRT PHENOM:BIOLOGCL SYSTMS Synopsis

  Hudson 218, TuTh 01:25 PM-02:40 PM

Education:

Ph.D.

Harvard University

2013

Keywords:

Aortic Coarctation • Atherosclerosis • Biomechanical Phenomena • Biomechanics • Biophysics • Cancer • Cancer cells • Cardiovascular Diseases • Computational Biology • Computational fluid dynamics • Computer Simulation • Fluid mechanics • Hemodynamics • High performance computing • Lattice Boltzmann methods • Metastasis • Multiscale modeling • Muser Mentor • Parallel algorithms • Parallel computers

Recent Publications

1. Jensen, C; Ghorbannia, A; Hughes, G; Randles, A, A systematic quantification of hemodynamic differences persisting after aortic coarctation repair, Frontiers in Bioengineering and Biotechnology, vol. 13 (June, 2025), Frontiers Media S.A. [doi]
2. Ghorbannia, A; Tanade, C; Yousef, A; Khan, NS; Vardhan, M; Chi, JT; Roychowdhury, S; Das, A; Leopold, JA; Chi, EC; Randles, A, Simulation-based machine learning for real-time assessment of side-branch hemodynamics in coronary bifurcation lesions, The International Journal of High Performance Computing Applications (June, 2025), SAGE Publications [doi]  [abs]
3. Martin, A; Yousef, A; Liu, G; Ladd, W; Georgiadou, A; Stoop, J; Randles, A, Performance Portability Evaluation of Fluid-Structure Interaction Simulations on Heterogeneous Platforms, https://ieeexplore.ieee.org/xpl/conhome/11008903/proceeding (May, 2025), pp. 1-11, IEEE, ISBN 978-3-9826336-1-9
4. Aran, K; Li, J; Randles, A; Wan, Y, Meet the winners of the 2024 Sony Women in Technology Award, Nature Reviews Electrical Engineering, vol. 2 no. 5 (May, 2025), pp. 297-301, Springer Science and Business Media LLC [doi]
5. Martin, A; Nezdyur, M; Tanade, C; Randles, A, Establishing a massively parallel computational model of the adaptive immune response, Journal of Computational Science, vol. 87 (May, 2025), pp. 102555-102555, Elsevier BV [doi]  [abs]

Recent Grant Support

• Dynamic models of the cardiovascular system capturing years, rather than heartbeats, National Institute on Aging, 2022/09-2027/07.      
• University Training Program in Biomolecular and Tissue Engineering, National Institutes of Health, 1994/07-2027/06.      
• Detection of Emergent Mechanical Properties of Biologically Complex Cellular States, University of California - Berkeley, 2023/03-2027/02.      
• Data-Driven Approaches to Identify Biomarkers for Guiding Coronary Artery Bifurcation Lesion Interventions from Patient-Specific Hemodynamic Models, National Institutes of Health, 2022/09-2025/08.      
• CAREER: Scalable Approaches for Multiphysics Fluid Simulation, National Science Foundation, 2020/04-2025/03.      
• Computational Tools for Improving Stereo-EEG Implantation and Resection Surgery, National Institutes of Health, 2022/08-2024/05.      
• Using Computational Fluid Dynamics to Predict Aneurysmal Degeneration of the Distal Aorta After Repair of Type A Dissection, American Heart Association, 2022/01-2023/12.      
• Technology for efficient simulation of cancer cell transport, National Institutes of Health, 2020/08-2023/07.