Associate Professor of Biomedical Engineering
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
- Associate Professor of Biomedical Engineering
- Associate Professor of Computer Science
- Assistant Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science
- Member of the Duke Cancer Institute
Contact Information
- Office Location: Wilkinson Building, Room No. 325, 534 Research Drive, Durham, NC 27708
- Email Address: amanda.randles@duke.edu
- Websites:
Education
- Ph.D. Harvard University, 2013
Research Interests
Biomedical simulation and high-performance computing
Awards, Honors, and Distinctions
- Presidential Early Career Awards for Scientists and Engineers (PECASE Awards). National Science Foundation (NSF). 2025
- Gilbreth Lectureship. NAE. 2025
- Jack Dongarra Early Career Award. ISC. 2024
- ACM Prize in Computing. ACM. 2023
- Stansell Family Distinguished Research Award. Pratt School of Engineering. 2023
- Emerging Woman Leader in Technical Computing. ACM SIGHPC. 2023
- Distinguished Member. ACM. 2023
- Pioneer Award. NIH. 2022
- Fellow (NAI). 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
- MIT TR35 Visionary. MIT TR35. 2017
- Grace Murray Hopper Award. ACM. 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
- George Michael Memorial High Performance Computing Fellowship. ACM/IEEE. 2012
- Anita Borg Memorial Scholarship. Google. 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 791: Graduate Independent Study
- BME 520L: Computational Foundations of Biomedical Simulation (GE, BB, MC)
- BME 493: Projects in Biomedical Engineering (GE)
- BME 307: Transport Phenomena in Biological Systems (AC or GE, BB)
In the News
- New Center Brings Technological Advances to the Future of Health Care (Apr 10, …
- Creating Digital Twins to Save Lives (Mar 12, 2025 | Duke Today)
- Building Digital Twins for Individualized Health Care (Dec 19, 2024 | Pratt Blu…
- Gaming Has Stereotypes. Here’s Why It’s More Than Child’s Play (Oct 21, 2024 | …
- New Method Using Smartwatch Data May Predict Heart Attack (Nov 29, 2023 | Pratt…
- Building a Community in Computational Medicine (Nov 17, 2023 | Pratt School of …
- Two Duke Faculty Have Won the NIH’s Prestigious Pioneer Award (Oct 3, 2022 | Du…
- Randles Elected Fellow of National Academy of Inventors (Dec 8, 2021 | Pratt Sc…
- The Race to Split a Ventilator (Dec 9, 2020)
- Virtual Reality Blood Flow Simulation To Improve Cardiovascular Interventions (…
- Randles' Cancer Simulations Aims to Be Critical Step Toward Understanding Cance…
- Duke University Models How and Where Blood Flow Impacts Health (Nov 7, 2017 | R…
- 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, 2…
- Experts put health issues firmly in the spotlight (Sep 14, 2015 | China Daily)
Representative Publications
- Saxena, Yasha, Lindsay Riley, Runxin Wu, Mohammed Shihab Kabir, Amanda Randles, and Tatiana Segura. “3D pore shape is predictable in randomly packed particle systems.” Matter, October 2025, 102493. https://doi.org/10.1016/j.matt.2025.102493.
- Mac Grory, B., Amanda Randles, David M. Urick, Fides R. Schwartz, David Hasan, and Evan D. Calabrese. “Photon-Counting Computed Tomography for Evaluation of Coiled Intracranial Aneurysms.” AJNR Am J Neuroradiol, September 23, 2025. https://doi.org/10.3174/ajnr.A9015.
- Ghorbannia, A., C. Tanade, A. Yousef, N. S. Khan, M. Vardhan, J. T. Chi, S. Roychowdhury, et al. “Simulation-based machine learning for real-time assessment of side-branch hemodynamics in coronary bifurcation lesions.” International Journal of High Performance Computing Applications 39, no. 5 (September 1, 2025): 678–91. https://doi.org/10.1177/10943420251351125.
- Khan, N. S., C. Tanade, J. Geddes, and A. Randles. “Establishing hemodynamic convergence framework for coronary digital twins under realistic dynamic heart rates.” Physics of Fluids 37, no. 9 (September 1, 2025). https://doi.org/10.1063/5.0287796.
- Geddes, Justen R., Christopher W. Jensen, Cyrus Tanade, Arash Ghorbannia, Marat Fudim, Manesh R. Patel, and Amanda Randles. “Digital twins for noninvasively measuring predictive markers of right heart failure.” NPJ Digit Med 8, no. 1 (August 25, 2025): 545. https://doi.org/10.1038/s41746-025-01920-8.