#SciFM27 turns to agentic systems that do not just model the world but investigate it, from planning and reasoning to running experiments across scientific domains. As scientific foundation models and agents expand from physics and materials into chemistry, drug discovery, and therapeutics, the conference asks how we build agents that can do science across physical and living systems.
SciFM27
Foundation Models and AI Agents for Discovery Across the Sciences
The Lineup
Invited Speakers
The first speakers for #SciFM27 have been announced, with more to be announced in the coming months.
David Baker
2024 Nobel Prize in Chemistry Winner
Director, Institute for Protein Design
Henrietta and Aubrey Davis Endowed Professor in Biochemistry
University of Washington
Rick Stevens
Associate Laboratory Director and Argonne Distinguished Fellow,
Argonne National Laboratory
Markus J. Buehler
McAfee Professor of Engineering,
Director of the Laboratory for Atomistic and Molecular Mechanics (LAMM),
Massachusetts Institute of Technology
About
SciFM 27
Generative AI appears poised to have a transformative impact on scientific discovery and engineering innovation.
#SciFM25: Scientific Discovery in the Age of AI is the 2nd conference on foundation models and AI agents for science, following the highly successful SciFM24 conference. The event will feature engaging talks and panel discussions from thought leaders and world-renowned experts from national labs, academia, and leading AI companies; it will also include hands-on tutorials and interactive workshops.
Generative models for a range of physical and biological phenomena
AI-driven workflows integrating scientists, instruments, and computations
Techniques to enhance mathematical and scientific reasoning
Advances in algorithmic and computational infrastructure
Quantifying and promoting creativity and novelty in foundation models
Envisioning and creating a national ecosystem for AI-augmented science
Organized by
