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. 

Contact Info:

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   (More Publications)

1. Pepona, M; Gounley, J; Randles, A, Effect of constitutive law on the erythrocyte membrane response to large strains, Computers & Mathematics With Applications, vol. 132 (February, 2023), pp. 145-160 [doi]  [abs]
2. Shi, H; Vardhan, M; Randles, A, The Role of Immersion for Improving Extended Reality Analysis of Personalized Flow Simulations., Cardiovascular Engineering and Technology (November, 2022) [doi]  [abs]
3. Puleri, DF; Martin, AX; Randles, A, Distributed Acceleration of Adhesive Dynamics Simulations, Acm International Conference Proceeding Series (September, 2022), pp. 37-45, ISBN 9781450397995 [doi]  [abs]
4. Puleri, DF; Randles, A, The role of adhesive receptor patterns on cell transport in complex microvessels., Biomechanics and Modeling in Mechanobiology, vol. 21 no. 4 (August, 2022), pp. 1079-1098 [doi]  [abs]
5. Gounley, J; Vardhan, M; Draeger, EW; Valero-Lara, P; Moore, SV; Randles, A, Propagation pattern for moment representation of the lattice Boltzmann method., Ieee Transactions on Parallel and Distributed Systems, vol. 33 no. 3 (March, 2022), pp. 642-653 [doi]  [abs]

Recent Grant Support

• University Training Program in Biomolecular and Tissue Engineering, National Institutes of Health, 1994/07-2027/06.      
• CAREER: Scalable Approaches for Multiphysics Fluid Simulation, National Science Foundation, 2020/04-2025/03.      
• Data-Driven Approaches to Identify Biomarkers for Guiding Coronary Artery Bifurcation Lesion Interventions from Patient-Specific Hemodynamic Models, National Institutes of Health, 2022/09-2024/08.      
• 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.      
• Computational Tools for Improving Stereo-EEG Implantation and Resection Surgery, National Institutes of Health, 2022/08-2023/08.      
• 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.      
• Novel anatomy-physiology guided diagnostic metric for complex coronary lesions, American Heart Association, 2020/01-2021/12.      
• 3D Bioprinted Aneurysm for Intervention Modeling Validation, Lawrence Livermore National Laboratory, 2019/01-2020/12.      
• Toward coupled multiphysics models of hemodynamics on leadership systems, National Institutes of Health, 7DP5-OD019876-02, 2014/09-2020/08.      
• Training in Medical Imaging, National Institutes of Health, 2003/07-2020/06.      
• Student Support: IEEE Cluster 2018 Conference, National Science Foundation, OAC-1814225, 2018/05-2020/02.