Amanda Randles

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

  • Professor of Biomedical Engineering
  • Assistant Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science
  • Associate 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
  • 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

  • Gilbreth Lectureship. NAE. 2025
  • Presidential Early Career Award for Scientists and Engineers (PECASE). National Science Foundation (NSF). 2025
  • Jack Dongarra Early Career Award. ISC. 2024
  • Emerging Woman Leader in Technical Computing. ACM SIGHPC. 2023
  • ACM Prize in Computing. ACM. 2023
  • Stansell Family Distinguished Research Award. Pratt School of Engineering. 2023
  • Distinguished Member. ACM. 2023
  • Pioneer Award. NIH. 2022
  • Fellow, National Academy of Inventors. 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
  • U.S. Delegate. Heidelberg Laureate Forum. 2013
  • Lawrence Fellowship. Lawrence Livermore National Laboratory. 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
  • Gordon Bell Finalist. ACM. 2010
  • Computational Science Graduate Fellowship. Department of Energy. 2010
  • George Michael Memorial High Performance Computing Fellowship. ACM/IEEE. 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

Representative Publications

  • Tanade, Cyrus, Japneet Kaur Mavi, Guinevere Ferreira, Sam Schwaller, and Amanda Randles. “Optimizing Non-invasive Fractional Flow Reserve Estimation with Machine Learning-Enhanced 1D Hemodynamic Modeling.” Cardiovascular Engineering and Technology 17, no. 4 (August 2026): 425–38. https://doi.org/10.1007/s13239-026-00836-y.
  • Randles, Amanda. “Physiological Assessment of Coronary Artery Disease.” The New England Journal of Medicine 395, no. 1 (July 2026): 80–83. https://doi.org/10.1056/nejme2602134.
  • Yousef, A., A. Martin, and A. Randles. “GPU Halo Replay: Lossless Twin Simulations for Flexible In Situ Analysis of Stencil-Based Solvers.” In Pasc 2026 Platform for Advanced Scientific Computing Conference, 2026. https://doi.org/10.1145/3815572.3815746.
  • Tanade, Cyrus, Christopher W. Jensen, Guinevere Ferreira, and Amanda Randles. “Real-Time Peripheral Revascularization Planning in Chronic Limb Threatening Ischemia Using HarVI: A Digital Twin Approach.” Cardiovascular Engineering and Technology 17, no. 3 (June 2026): 300–316. https://doi.org/10.1007/s13239-026-00825-1.
  • Mac Grory, Brian, Amanda Randles, David M. Urick, Fides R. Schwartz, David Hasan, and Evan D. Calabrese. “Photon-Counting CT for Evaluation of Coiled Intracranial Aneurysms.” AJNR Am J Neuroradiol 47, no. 4 (April 2, 2026): 912–19. https://doi.org/10.3174/ajnr.A9015.