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:

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. Feiger, B; Jensen, CW; Bryner, BS; Segars, WP; Randles, A, Modeling the effect of patient size on cerebral perfusion during veno-arterial extracorporeal membrane oxygenation., Perfusion, vol. 39 no. 7 (October, 2024), pp. 1295-1303 [doi]  [abs]
2. Tanade, C; Khan, NS; Rakestraw, E; Ladd, WD; Draeger, EW; Randles, A, Establishing the longitudinal hemodynamic mapping framework for wearable-driven coronary digital twins., NPJ digital medicine, vol. 7 no. 1 (September, 2024), pp. 236, Springer Science and Business Media LLC [doi]  [abs]
3. Chidyagwai, SG; Kaplan, MS; Jensen, CW; Chen, JS; Chamberlain, RC; Hill, KD; Barker, PCA; Slesnick, TC; Randles, A, Surgical Modulation of Pulmonary Artery Shear Stress: A Patient-Specific CFD Analysis of the Norwood Procedure., Cardiovasc Eng Technol, vol. 15 no. 4 (August, 2024), pp. 431-442 [doi]  [abs]
4. Geddes, J; Randles, A; Tanade, C; Ladd, W; Khan, NS, Velocity Temporal Shape Affects Simulated Flow in Left Coronary Arteries (July, 2024)
5. Vardhan, M; Tanade, C; Chen, SJ; Mahmood, O; Chakravartti, J; Jones, WS; Kahn, AM; Vemulapalli, S; Patel, M; Leopold, JA; Randles, A, Diagnostic Performance of Coronary Angiography Derived Computational Fractional Flow Reserve., J Am Heart Assoc, vol. 13 no. 13 (July, 2024), pp. e029941 [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.      
• Large-scale Azure Workloads and GPU Acceleration in Computational Hemodynamics Research, Microsoft Corporation, 2022/02-2022/06.