J. Austin Ellis is an HPC AI Computer Scientist in the Analytics and AI Methods at Scale group within the Oak Ridge Leadership Computing Facility (OLCF) at Oak Ridge National Laboratory. His work and research is primarily focused on ML modeling for OLCF applications, algorithmic scalability, and advanced facility analytics. He has a PhD in Applied Mathematics from North Carolina State University and was a postdoc in the Scalable Algorithms group at Sandia National Laboratories.
Resource Management and Scheduling
Machine Learning and Artificial Intelligence