Contact Info
(773) 834-6816
Crerar 307

Rick Stevens is the Associate Laboratory Director of the Computing, Environment and Life Sciences Directorate at Argonne National Laboratory, and a Professor of Computer Science at the University of Chicago, with significant responsibility in delivering on the U.S. national initiative for Exascale computing and developing the DOE initiative in Artificial Intelligence (AI) for Science.

At Argonne, he is leading the Laboratory’s AI for Science initiative and currently focusing on high-performance computing systems which includes leading a significant collaboration with Intel and Cray to launch Argonne’s first exascale computer, Aurora 21, which will pursue some of the farthest-reaching science and engineering breakthroughs ever achieved with supercomputing, as well as a partnership with Cerebras Systems to bring hardware on site to advance the massive deep learning experiments being pursued at Argonne for basic and applied science and medicine with supercompute-scale AI.

Prof. Stevens is a member of the American Association for the Advancement of Science and has received many national honors for his research, including an R&D 100 award.


Focus Areas: Systems, Bioinformatics, High Performance Computing

Stevens’ research spans the computational and computer sciences from high-performance computing, to the building of innovative tools and techniques for biological science and infectious disease research as well approaches to advance deep learning to accelerate cancer research. He also specializes in high-performance computing, collaborative visualization technology, and grid computing. Currently, he is the PI of the Bacterial / Viral Bioinformatics Resource Center (BV-BRC) which is developing comparative analysis tools for infectious disease research and serves a large user community; the Exascale Deep Learning and Simulation Enabled Precision Medicine for Cancer project through the Exascale Computing Project (ECP), which focuses on building a scalable deep neural network application called the CANcer Distributed Learning Environment (CANDLE); the Predictive Modeling for Pre-Clinical Screening (Pilot 1) of the DOE-NCI Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) project; and the Co-design of Advanced Artificial Intelligence (AI) Systems project focused on predicting behavior of complex systems using multimodal datasets.


Scientific & High Performance Computing

Scientific discovery at the frontiers of computational performance, intelligence, and scale

Systems, Architecture & Networking

Design and analysis of computing systems: cloud, edge, Internet, quantum, and beyond

Labs & Groups

Systems Group

A vibrant, collaborative research community with diverse, synergistic research interests spanning systems, programming languages and software engineering, software and hardware...

CERES Center for Unstoppable Computing

Andrew A. Chien
A dynamic community focused on reducing the fragility and complexity of computing systems, while also increasing their efficiency and lifetime.

News & Events

UChicago CS News

UChicago CS Professor Rick Stevens Named ACM Fellow

Jan 16, 2021
Past Event

Partnering to Advance AI Research & Development Workshop

This workshop is sponsored by the University of Chicago’s Office of Research and National Laboratories Joint Task Force Initiative’s “AI+Science“...
Nov 09, 2020
UChicago CS News

Department of Energy XLab Event Features Prof. Rebecca Willett on Foundations of AI

Oct 16, 2019
UChicago CS News

New Bioinformatics Hub at UChicago Enables Next-Gen Infectious Disease Research

Oct 04, 2019
UChicago CS News

PhD Student Yuliana Zamora Awarded National Physical Science Consortium Fellowship

Jun 03, 2019
UChicago CS News

New Argonne Supercomputer, Built for Next-Gen AI, Will Be Most Powerful in U.S

Mar 19, 2019
UChicago CS News

FEMMES sparks STEM interest in young girls at 2016 Capstone

Jun 17, 2016
UChicago CS News

Santerre Receives Best Poster Award at GLBIO 2015

Oct 22, 2015
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