Amanda Randles

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
  • 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

  • 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
  • Emerging Woman Leader in Technical Computing. ACM SIGHPC. 2023
  • Stansell Family Distinguished Research Award. Pratt School of Engineering. 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
  • 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
  • U.S. Delegate . Heidelberg Laureate Forum. 2013
  • Lawrence Fellowship. Lawrence Livermore National Laboratory. 2013
  • Anita Borg Memorial Scholarship. Google. 2012
  • U.S. Delegate . Lindau Nobel Laureates and Students Meeting Dedicated to Physics. 2012
  • George Michael Memorial High Performance Computing Fellowship. ACM/IEEE. 2012
  • Computational Science Graduate Fellowship. Department of Energy. 2010
  • Gordon Bell Finalist. ACM. 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

  • 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.
  • Martin, A., W. Ladd, R. Wu, and A. Randles. “High-throughput adaptive physics refinement for tissue-scale adhesive dynamics.” Journal of Computational Science 95 (April 1, 2026). https://doi.org/10.1016/j.jocs.2026.102812.
  • 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, March 2026. https://doi.org/10.1007/s13239-026-00825-1.
  • 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.
  • 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.