Decoding the Genesis Mission: A New Era for AI-Driven Science with Rick Stevens
February 3
, 2026
9:00 AM - 10:00 AM PST
Online
Embedded Files
About the Session
The launch of the Department of Energy’s Genesis Mission marks a definitive turning point in American scientific strategy. It is no longer just about simulation; it is about building the "brain" of modern research—a national-scale AI capability designed to accelerate discovery across every discipline.
We are honored to host Rick Stevens, Associate Laboratory Director at Argonne National Laboratory and a key architect of this initiative, for an exclusive deep dive into what the Genesis Mission truly entails.
In this session, Rick will go beyond the headlines to explain the strategic and technical roadmap of Genesis. He will detail the massive new infrastructure being deployed—including the 100,000-GPU Solstice and Equinox systems—and the formation of the Transformational AI Models Consortium (ModCon).
Join us to understand how Genesis will move beyond traditional HPC to train multi-modal foundation models on scientific data at an unprecedented scale. Rick will discuss how this new "AI-for-Science" backbone will function, how industry and academia can engage with it, and how it aims to compress decades of research into years for critical challenges in energy, biology, materials science, and more.
Speaker
Rick Stevens
A
ssociate Laboratory Director for Computing
,
Argonne National Laboratory
Rick Stevens is Argonne’s Associate Laboratory Director for Computing, Environment and Life Sciences (CELS), an Argonne Distinguished Fellow, and a Computer Science Professor at the University of Chicago, having joined Argonne in 1982.
He oversees research in computational sciences, including HPC architecture and tools for bioinformatics and disease research. Stevens currently leads efforts in AI development for scientific challenges, the national exascale computing initiative, and the national AI initiative. An AAAS member and ACM Fellow, Stevens has received numerous honors for his contributions to high-performance computing.
Stevens currently serves as PI for the Bacterial/Viral Bioinformatics Resource Center (BV-BRC), the IMPROVE project for predictive oncology model evaluation, and the LUCID project, which uses computational and data-driven methods to identify mechanisms of radiation-linked cancer.
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