I’m Ryien (IPA: rɑːjin, Persian: رایین), a PhD student in
the Department of Computer
at the University of Chicago, where I am advised
by Hank Hoffmann and Rebecca Willett.
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.
Previously, I was a Predoctoral researcher at the Argonne Leadership Computing Facility at Argonne National Laboratory. There, I worked with Venkatram Vishwanath and Filippo Simini in order to develop and scale graph neural networks (GNNs) and apply them to diverse scientific applications.
I received my M.S. through the Electrical and Computer Engineering Department at the University of Michigan, where my focus was on machine learning, systems, and computational biology. 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.