SciFM Conferences

Foundation models and AI agents for scientific discovery and engineering innovation.

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Where foundational models meet scientific discovery

The SciFM conference series has quickly become a leading venue for foundation models and AI agents for scientific discovery and engineering innovation. The conferences feature engaging talks and panel discussions with thought leaders and world-renowned experts from national laboratories, academia, and leading AI companies, along with hands-on tutorials and interactive workshops.

SciFM events cover a broad range of topics, including techniques to enhance mathematical and scientific reasoning, AI-driven workflows, advances in algorithms and computational infrastructure, and applications in biology, energy sciences, climate science, and materials science. The series also examines how to build a national ecosystem for AI-augmented science.

SciFM by the Numbers

400+

Attendees Annually

Speakers

Research Presenters

SciFM History

#SciFM24 / #SciFM25

The Inaugural Events

SciFM began in 2024 with Scientific Foundation Models, followed by Scientific Discovery in the Age of AI. Both were organized and hosted by the Michigan Institute for Computational Discovery and Engineering (MICDE) at the University of Michigan, Ann Arbor.

#SciFM26

Foundation Models and AI Agents for Science

The third conference was hosted by the University of Chicago in May 2026, bringing together researchers, industry leaders, and policymakers to examine the growing role of foundation models, AI agents, and advanced computational systems in scientific research.

#SciFM27

Returning to Ann Arbor

The fourth conference returns to Ann Arbor in late spring of 2027, organized by MICDE, the College of Pharmacy, and the Department of Physics, a core venue for physics-informed learning, AI, and laboratory automation.

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#SciFM28

Looking Ahead: Cambridge, MA

The fifth conference will be hosted by Harvard University and the Massachusetts Institute of Technology in Cambridge, Massachusetts, extending the series’ reach into a new research community.