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. 

Please note: Amanda has left the Mathematics department at Duke University; some info here might not be up to date.

Contact Info:

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

Teaching (Spring 2024):

• BME 520L.001, COMP FOUND BIOMED SIMULATION Synopsis

  Hudson 125, WF 10:05 AM-11:20 AM

• BME 520L.01L, COMP FOUND BIOMED SIMULATION Synopsis

  Hudson 125, F 03:05 PM-06:05 PM

• BME 520L.02L, COMP FOUND BIOMED SIMULATION Synopsis

  TBA, F 04:40 PM-07:40 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   (More Publications)

1. 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 (March, 2024) [doi]  [abs]
2. Nan, J; Roychowdhury, S; Randles, A, Investigating the Influence of Heterogeneity Within Cell Types on Microvessel Network Transport., Cellular and molecular bioengineering, vol. 16 no. 5-6 (December, 2023), pp. 497-507 [doi]  [abs]
3. Martin, A; Liu, G; Ladd, W; Lee, S; Gounley, J; Vetter, J; Patel, S; Rizzi, S; Mateevitsi, V; Insley, J; Randles, A, Performance Evaluation of Heterogeneous GPU Programming Frameworks for Hemodynamic Simulations, ACM International Conference Proceeding Series (November, 2023), pp. 1126-1137, ACM, ISBN 9798400707858 [doi]  [abs]
4. Valero-Lara, P; Vetter, J; Gounley, J; Randles, A, Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs, ACM International Conference Proceeding Series (November, 2023), pp. 1697-1704, ACM, ISBN 9798400707858 [doi]  [abs]
5. Tanade, C; Rakestraw, E; Ladd, W; Draeger, E; Randles, A, Cloud Computing to Enable Wearable-Driven Longitudinal Hemodynamic Maps, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023 (November, 2023), ACM, ISBN 9798400701092 [doi]  [abs]

Recent Grant Support

• Dynamic models of the cardiovascular system capturing years, rather than heartbeats, National Institutes of Health, 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.      
• 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.      
• Computational Tools for Improving Stereo-EEG Implantation and Resection Surgery, National Institutes of Health, 2022/08-2024/08.      
• 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.      
• 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.