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. 

Appointments and Affiliations

  • Alfred Winborne and Victoria Stover Mordecai Assistant Professor of Biomedical Sciences
  • Assistant 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:
  • Websites:


  • Ph.D. Harvard University , 2013

Research Interests

Biomedical simulation and high-performance computing

Awards, Honors, and Distinctions

  • 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 307D: Transport Phenomena in Biological Systems (AC or GE, BB)
  • BME 493: Projects in Biomedical Engineering (GE)
  • BME 494: Projects in Biomedical Engineering (GE)
  • BME 590L: Special Topics with Lab
  • BME 791: Graduate Independent Study
  • BME 792: Continuation of Graduate Independent Study

In the News

Representative Publications

  • Puleri, DF; Randles, A, The role of adhesive receptor patterns on cell transport in complex microvessels., Biomechanics and Modeling in Mechanobiology, vol 21 no. 4 (2022), pp. 1079-1098 [10.1007/s10237-022-01575-4] [abs].
  • Gounley, J; Vardhan, M; Draeger, EW; Valero-Lara, P; Moore, SV; Randles, A, Propagation pattern for moment representation of the lattice Boltzmann method., Ieee Transactions on Parallel and Distributed Systems, vol 33 no. 3 (2022), pp. 642-653 [10.1109/tpds.2021.3098456] [abs].
  • Chidyagwai, SG; Vardhan, M; Kaplan, M; Chamberlain, R; Barker, P; Randles, A, Characterization of hemodynamics in anomalous aortic origin of coronary arteries using patient-specific modeling., J Biomech, vol 132 (2022) [10.1016/j.jbiomech.2021.110919] [abs].
  • Feiger, B; Lorenzana-Saldivar, E; Cooke, C; Horstmeyer, R; Bishawi, M; Doberne, J; Hughes, GC; Ranney, D; Voigt, S; Randles, A, Evaluation of U-Net Based Architectures for Automatic Aortic Dissection Segmentation, Acm Transactions on Computing for Healthcare, vol 3 no. 1 (2022) [10.1145/3472302] [abs].
  • Bishawi, M; Kaplan, M; Chidyagwai, S; Cappiello, J; Cherry, A; MacLeod, D; Gall, K; Evans, N; Kim, M; Shaha, R; Whittle, J; Hollidge, M; Truskey, G; Randles, A, Patient- and Ventilator-Specific Modeling to Drive the Use and Development of 3D Printed Devices for Rapid Ventilator Splitting During the COVID-19 Pandemic, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 13352 LNCS (2022), pp. 137-149 [10.1007/978-3-031-08757-8_13] [abs].