Amanda Randles

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 of Computer Science
  • Member of the Duke Cancer Institute

Contact Information

  • Office Location: 303 Gross Hall, 140 Science Dr., Durham, NC 27708
  • Office Phone: (919) 660-5425
  • 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

  • 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
  • CEE 307: Transport Phenomena in Biological Systems (AC or GE, BB)
  • COMPSCI 394: Research Independent Study

In the News

Representative Publications

  • 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].
  • Bazarin, RLM; Philippi, PC; Randles, A; Hegele, LA, Moments-based method for boundary conditions in the lattice Boltzmann framework: A comparative analysis for the lid driven cavity flow, Computers & Fluids, vol 230 (2021) [10.1016/j.compfluid.2021.105142] [abs].
  • Herschlag, G; Lee, S; Vetter, JS; Randles, A, Analysis of GPU Data Access Patterns on Complex Geometries for the D3Q19 Lattice Boltzmann Algorithm, Ieee Transactions on Parallel and Distributed Systems, vol 32 no. 10 (2021), pp. 2400-2414 [10.1109/TPDS.2021.3061895] [abs].
  • Puleri, DF; Balogh, P; Randles, A, Computational models of cancer cell transport through the microcirculation., Biomechanics and Modeling in Mechanobiology, vol 20 no. 4 (2021), pp. 1209-1230 [10.1007/s10237-021-01452-6] [abs].
  • Balogh, P; Gounley, J; Roychowdhury, S; Randles, A, A data-driven approach to modeling cancer cell mechanics during microcirculatory transport., Scientific Reports, vol 11 no. 1 (2021) [10.1038/s41598-021-94445-5] [abs].