J. Austin Ellis
J. Austin Ellis is a staff member in the Analytics & AI Methods at Scale group at the OLCF. He completed his B.S. degree in Applied Mathematics at the University of North Carolina at Chapel Hill in 2012. From 2016 to 2018, he was an intern at ORNL in the radiation transport group working on the Shift Monte Carlo radiation transport code. He completed his Ph.D. in Applied Mathematics at North Carolina State University in 2018. Recently, he was a postdoc in the Scalable Algorithms group at Sandia National Laboratories working on machine learning and high performance computing with a focus in material science and climate science.
Journal: Parallel Computing