Amanda Randles

Alfred Winborne and Victoria Stover Mordecai Associate 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.

Appointments and Affiliations

Alfred Winborne and Victoria Stover Mordecai Associate Professor of Biomedical Sciences
Associate Professor of Biomedical Engineering
Assistant Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science
Assistant Professor of Computer Science
Member of the Duke Cancer Institute

Contact Information

Office Location: Wilkinson Building, Room No. 325, 534 Research Drive, Durham, NC 27708
Office Phone: (919) 660-6962
Email Address: amanda.randles@duke.edu
Websites:
- Google Scholar
- Randles Lab Site

Education

Ph.D. Harvard University , 2013

Research Interests

Biomedical simulation and high-performance computing

Awards, Honors, and Distinctions

Stansell Family Distinguished Research Award. Pratt School of Engineering. 2023
Pioneer Award. NIH. 2022
Fellow (NAI). National Academy of Inventors. 2021
Fellow. National Academy of Inventors. 2021
Senior Member. National Academy of Inventors. 2019
IEEE-CS Technical Consortium on High Performance Computing (TCHPC) Award for Excellence for Early Career Researchers in High Performance Computing. IEEE. 2017
Grace Murray Hopper Award. ACM. 2017
MIT TR35 Visionary. MIT TR35. 2017
Ralph E. Powe Junior Faculty Enhancement Award. Oak Ridge Associated Universities. 2016
Best Paper, IEEE International Conference on Computational Science (ICCS) 2015. IEEE. 2015
Gordon Bell Finalist. ACM. 2015
Early Independence Award. NIH. 2014
Lawrence Fellowship. Lawrence Livermore National Laboratory. 2013
U.S. Delegate . Heidelberg Laureate Forum. 2013
Anita Borg Memorial Scholarship. Google. 2012
George Michael Memorial High Performance Computing Fellowship. ACM/IEEE. 2012
U.S. Delegate . Lindau Nobel Laureates and Students Meeting Dedicated to Physics. 2012
Computational Science Graduate Fellowship. Department of Energy. 2010
George Michael Memorial High Performance Computing Fellowship. ACM/IEEE. 2010
Gordon Bell Finalist. ACM. 2010
Graduate Research Fellowship. National Science Foundation. 2009

Courses Taught

BME 307: Transport Phenomena in Biological Systems (AC or GE, BB)
BME 493: Projects in Biomedical Engineering (GE)
BME 590L: Special Topics with Lab
BME 791: Graduate Independent Study
BME 792: Continuation of Graduate Independent Study
EGR 393: Research Projects in Engineering

In the News

Building a Community in Computational Medicine (Nov 17, 2023 | Pratt School of Engineering)
Two Duke Faculty Have Won the NIH’s Prestigious Pioneer Award (Oct 3, 2022)
Randles Elected Fellow of National Academy of Inventors (Dec 8, 2021 | Duke Engineering News)
The Race to Split a Ventilator (Dec 9, 2020)
Virtual Reality Blood Flow Simulation To Improve Cardiovascular Interventions (May 14, 2020 | Pratt School of Engineering)
Randles' Cancer Simulations Aims to Be Critical Step Toward Understanding Cancer Metastasis (Sep 11, 2019 | Duke Cancer Institute)
A Revolutionary Picture of Blood Flow Opens New Avenues for Disease Diagnosis and Treatment (Aug 8, 2019 | Pratt School of Engineering)
Randles Selected to Help Pilot First U.S. Exascale Computer (Jul 6, 2018 | Pratt School of Engineering)
Duke University Models How and Where Blood flow Impacts Health (Nov 1, 2017)
Plumbing Virtual Vessels (Sep 21, 2017)
Supercomputer copies whole-body blood flow (Mar 17, 2016 | BBC News)
New Collaborative Seed Grant Program Gives Eight Awards (Mar 16, 2016)
NIH Features Randles Research on Fighting Cancer With Supercomputers (Nov 19, 2015 | Duke Today)
Experts put health issues firmly in the spotlight (Sep 14, 2015 | China Daily)
Amanda Randles: Computing Complex Biological Systems (Jun 5, 2015 | Pratt School of Engineering)

Representative Publications

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, Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (2023) [10.1145/3624062.3624188] [abs].
Valero-Lara, P; Vetter, J; Gounley, J; Randles, A, Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs, Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (2023) [10.1145/3624062.3624250] [abs].
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 (2023) [10.1145/3581784.3607101] [abs].
Roychowdhury, S; Mahmud, ST; Martin, A; Balogh, P; Puleri, DF; Gounley, J; Draeger, EW; Randles, A, Enhancing Adaptive Physics Refinement Simulations Through the Addition of Realistic Red Blood Cell Counts, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (2023) [10.1145/3581784.3607105] [abs].
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 (2023) [10.1177/02676591231187962] [abs].