Contributor

Amanda Randles is the Alfred Winborne Mordecai and Victoria Stover Mordecai Associate Professor of Biomedical Sciences and Biomedical Engineering at Duke University. She has courtesy appointments in the Mechanical Engineering and Material Science, Computer Science, and Mathematics departments and is a member of the Duke Cancer Institute. Focusing on the intersection of high performance computing, machine learning, and personalized, physics-based modeling, her group is developing new methods to aid in diagnosing and treating diseases ranging from cardiovascular disease to cancer. Amongst other recognitions, she has received the NIH Pioneer Award, the IEEE TCHPC Early Career Award for HPC, the NSF CAREER Award, the ACM Grace Hopper Award, and the ACM/IEEE-CS George Michael Memorial High Performance Computing Fellowship. She was named to the World Economic Forum Young Scientist List and the MIT Technology Review World’s Top 35 Innovators under the Age of 35 list and is a Fellow of the National Academy of Inventors. Amanda received her Ph.D. in Applied Physics from Harvard University as a DOE Computational Graduate and NSF Fellow. Before that, she received her Master’s degree in Computer Science from Harvard University and her Bachelor’s degree in Computer Science and Physics from Duke University. Prior to graduate school, she worked as a software engineer at IBM on the Blue Gene supercomputing team. She has contributed to over 80 peer-reviewed papers, 100 granted US patents, and 100 pending patent applications.