I am a Predoctoral Appointee at Argonne National Laboratory, where I work in the Data Science Division. My research interests lie at the intersection of machine learning algorithms and high performance computing systems. At a high level, I am interested in developing and deploying AI systems that can accelerate scientific discovery. Specifically, I am currently involved with developing graph neural network (GNN) algorithms and scaling such algorithms on emerging hardware accelerator platforms.
I received my M.S. in electrical and computer engineering at the University of Michigan. Prior to attending graduate school, I received my undergraduate degrees in computer engineering (B.S.E.) and cognitive science (B.S.), also at the University of Michigan.
Graph Neural Networks
High Performance Computing