Ryien Hosseini

Ryien Hosseini

PhD Student
Department of Computer Science
University of Chicago
Curriculum Vitae

Office: JCL 357
Mailing Address: 5730 S Ellis Ave, Chicago, IL 60637
Email: ryien [at] uchicago [dot] edu

I’m Ryien (IPA: rɑːjin, Persian: رایین), a PhD student in the Department of Computer Science 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.


Exploring the Use of Dataflow Architectures for Graph Neural Network Workloads
Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Ramakrishnan Sivakumar, Sanjif Shanmugavelu, Zhengyu Chen, Lev Zlotnik, Mingran Wang, Philip Colangelo, Andrew Deng, Philip Lassen, Shukur Pathan
2023 International Conference on High Performance Computing (ISC), Workshop on HPC on Heterogeneous Hardware

Piloting a Flexible Deadline Policy for a First-Year Computer Programming Course
Isha Bhatt, Laura K Alford, Lesa Begley, Ryien Hosseini, Deborah A Lichti
2023 American Society for Engineering Education (ASEE) Annual Conference & Exposition

Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks
Ryien Hosseini, Filippo Simini, Austin Clyde, Arvind Ramanathan
2022 Conference on Neural Information Processing Systems (Neurips), Workshop on AI for Science

Operation-Level Performance Benchmarking of Graph Neural Networks for Scientific Applications
Ryien Hosseini, Filippo Simini, Venkatram Vishwanath
2022 Conference on Machine Learning and Systems (MLSys), Workshop on Benchmarking Machine Learning Workloads on Emerging Hardware


Graduate Student Instructor, University of Michigan
Course: Engr 101: Introduction to Computers and Programming

Instructional Aide (Undergraduate), University of Michigan
Course: EECS 280: Programming and Introductory Data Structures


Email: ryien [at] uchicago [dot] edu
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