Amanda Randles

Amanda Randles
Amanda Randles
	Randles at the WEF Summer Davos in 2016
Education	Duke University; Harvard University;
Awards	ACM Prize in Computing (2023); NIH Pioneer (2022); NSF CAREER (2019); Grace Murray Hopper Award (2017);
	Scientific career
Fields	Computer science; Biomedical engineering;
Institutions	Duke University
Thesis	Modeling Cardiovascular Hemodynamics Using the Lattice Boltzmann Method on Massively Parallel Supercomputers (2013)
Doctoral advisor	Efthimios Kaxiras; Hanspeter Pfister;

Amanda Randles is an American computer scientist who is the Alfred Winborne and Victoria Stover Mordecai Associate Professor of Biomedical Sciences at Duke University. Randles is an associate professor of biomedical engineering with secondary appointments in computer science, mathematics, and mechanical engineering and materials science. She is a member of the Duke Cancer Institute. Her research interests include biomedical simulation, machine learning, computational fluid dynamics, and high-performance computing.