Amanda Randles

Amanda Randles is an American biomedical engineer who is the Alfred Winborne and Victoria Stover Mordecai Assistant Professor of Biomedical Sciences at Duke University. She is also an assistant professor of biomedical engineering, computer science, and mathematics at Duke University, and a member of the Duke Cancer Institute. Her research interests include high performance computing, computational fluid dynamics, and biomedical simulation.

Randles received a B.A. in Physics and Computer Science from Duke University in 2005. She received a S.M. in Computer Science at Harvard University in 2010. After working at IBM, she earned a Ph.D. in Applied Physics from Harvard in 2013.

In 2009, Randles was awarded a National Science Foundation Graduate Research Fellowship. In 2011, she was awarded a Computational Science Graduate Fellowship by the Krell Institute, and subsequently completed a practicum at Lawrence Livermore National Laboratory.

Randles joined the Duke University Biomedical Engineering Department in 2015, where she is currently serves as the Alfred Winborne and Victoria Stover Mordecai Assistant Professor of Biomedical Sciences. She is also an assistant professor of Biomedical Engineering, Computer Science, and Mathematics at Duke University, and a member of the Duke Cancer Institute.

Randles was named to the 2015 World Economic Forum Young Scientist List for her work on the "design of large-scale parallel applications targeting problems in physics". In 2017, she was awarded the Grace Murray Hopper Award for developing HARVEY, a fluid dynamics simulation software capable of modeling blood flowing throughout a human body based on full-body CT and MRI scans of a particular person. She was named as one of the Top 35 Innovators Under 35 by MIT Technology Review magazine for her work on developing HARVEY. HARVEY is named after William Harvey, the first known physician to completely describe the human circulatory system.

In 2018, she was selected as one of ten researchers to test simulation-based projects on the exascale supercomputer Aurora, as part of the Aurora Early Science Program at the Argonne National Laboratory.