Amanda Randles, Ph.D.
Director, Center for Computational and Digital Health Innovation
Alfred Winborne Mordecai and Victoria Stover Mordecai Associate Professor
Department of Biomedical Engineering, Duke University
Seminar Information
Cardiovascular health is central to both longevity and everyday quality of life, yet individualized disease detection and proactive care remain elusive. High-fidelity circulatory simulations are emerging as a foundation for cardiovascular digital twins—patient-specific models that integrate clinical and wearable data to enable continuous, non-invasive monitoring. In this talk, I will introduce new multiphysics algorithms and heterogeneous computing strategies that make these simulations scalable, highlight the longitudinal hemodynamic mapping framework (LHMF) for capturing months of circulatory dynamics, and describe how we are coupling simulation outputs with wearable signals to detect early disease progression in real time. Finally, I will show how these approaches extend beyond heart disease to applications such as heart failure monitoring and cancer cell transport, laying the groundwork for proactive medicine.
Amanda Randles is the Alfred Winborne Mordecai and Victoria Stover Mordecai Associate Professor of Biomedical Sciences and Biomedical Engineering at Duke University, where she also serves as Director of the Duke Center for Computational and Digital Health Innovation. She holds courtesy appointments in Mechanical Engineering and Materials Science, Computer Science, and Mathematics, and is a member of the Duke Cancer Institute. Her research focuses on the development of patient-specific digital twin models that integrate high performance computing, machine learning, and multiscale biophysical simulations to enable proactive diagnosis and treatment of diseases ranging from cardiovascular disease to cancer. She has published 121 peer-reviewed papers, including in Science, Nature Biomedical Engineering, and Nature Digital Medicine, and holds over hundred granted U.S. patents. Her contributions have been recognized with the ACM Prize in Computing, the NIH Pioneer Award, the NSF CAREER Award, the ACM Grace Hopper Award, the Jack Dongarra Early Career Award, and the inaugural Sony and Nature Women in Technology Award. She was named to the HPCwire People to Watch list in 2025, is a Fellow of the National Academy of Inventors, and has been honored as a World Economic Forum Young Scientist and one of MIT Technology Review’s Top 35 Innovators Under 35. Randles received her Ph.D. in Applied Physics from Harvard University as a DOE Computational Science Graduate Fellow and NSF Fellow, an M.S. in Computer Science from Harvard, and a B.S. in Computer Science and Physics from Duke. Prior to graduate school, she worked as a software engineer at IBM on the Blue Gene supercomputing team.