Amanda Randles

Alfred Winborne and Victoria Stover Mordecai Associate 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 Associate Professor of Biomedical Sciences
  • Associate 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: amanda.randles@duke.edu
  • Websites:

Education

  • Ph.D. Harvard University , 2013

Research Interests

Biomedical simulation and high-performance computing

Awards, Honors, and Distinctions

  • Stansell Family Distinguished Research Award. Pratt School of Engineering. 2023
  • Pioneer Award. NIH. 2022
  • Fellow (NAI). National Academy of Inventors. 2021
  • 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 493: Projects in Biomedical Engineering (GE)
  • BME 520L: Computational Foundations of Biomedical Simulation (GE, BB, MC)
  • BME 590L: Special Topics with Lab
  • BME 791: Graduate Independent Study
  • BME 792: Continuation of Graduate Independent Study
  • EGR 393: Research Projects in Engineering

In the News

Representative Publications

  • Chidyagwai, Simbarashe G., Michael S. Kaplan, Christopher W. Jensen, James S. Chen, Reid C. Chamberlain, Kevin D. Hill, Piers C. A. Barker, Timothy C. Slesnick, and Amanda Randles. “Surgical Modulation of Pulmonary Artery Shear Stress: A Patient-Specific CFD Analysis of the Norwood Procedure.” Cardiovascular Engineering and Technology, March 2024. https://doi.org/10.1007/s13239-024-00724-3.
  • Nan, Junyu, Sayan Roychowdhury, and Amanda Randles. “Investigating the Influence of Heterogeneity Within Cell Types on Microvessel Network Transport.” Cellular and Molecular Bioengineering 16, no. 5–6 (December 2023): 497–507. https://doi.org/10.1007/s12195-023-00790-y.
  • Martin, A., G. Liu, W. Ladd, S. Lee, J. Gounley, J. Vetter, S. Patel, et al. “Performance Evaluation of Heterogeneous GPU Programming Frameworks for Hemodynamic Simulations.” In ACM International Conference Proceeding Series, 1126–37, 2023. https://doi.org/10.1145/3624062.3624188.
  • Valero-Lara, P., J. Vetter, J. Gounley, and A. Randles. “Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs.” In ACM International Conference Proceeding Series, 1697–1704, 2023. https://doi.org/10.1145/3624062.3624250.
  • Tanade, C., E. Rakestraw, W. Ladd, E. Draeger, and A. Randles. “Cloud Computing to Enable Wearable-Driven Longitudinal Hemodynamic Maps.” In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023, 2023. https://doi.org/10.1145/3581784.3607101.