Workshop · April 2026

Statistical Physics for Ambitious Interpretability

We're bringing together researchers in physics, CS, AI safety, and neuroscience to explore how statistical physics can advance AI interpretability.

When April 13–17, 2026
Where Cambridge, MA
Cost Free to attend

As part of an ongoing collaboration, this workshop brings together researchers from across disciplines to discuss physics-inspired approaches to understanding AI systems, including data structure, learning theory, and tools to interpret learned representations. Our goal is to coordinate on recent progress and seed new collaborations. Expect seminar-style talks, collaborative discussion sessions and tutorials, and plenty of time for focused discussions.

Registration is currently closed. Contact Claudine Lim (claudine AT princint DOT ai) or Lauren Greenspan (lauren AT princint DOT ai) for more information.

Schedule

The schedule is in progress and will be updated as it develops.
View the current schedule →

Location

The workshop will be held at two locations in the Kendall Square neighborhood of Cambridge. Both are easily accessible via the MBTA red line (Kendall/MIT stop). Please bring a photo ID to check in at the front desk.

Monday, April 13 – Tuesday, April 14

Microsoft Conference Center
1 Memorial Dr, Cambridge, MA 02142

Wednesday, April 15 – Friday, April 17

Foundry
101 Rogers St, Cambridge, MA 02142

Contact

For questions, reach out to us at claudine@princint.ai or lauren@princint.ai.

Featured Speakers

Haim Sompolinsky
Harvard University & Hebrew University
Zohar Ringel
Hebrew University of Jerusalem
Cengiz Pehlevan
Harvard University
Gaia Grosso
IAIFI
Noa Rubin
Hebrew University of Jerusalem
Daniel Kunin
UC Berkeley
Yonatan Belinkov
Technion, Harvard University
Logan Riggs Smith
Independent
Jamie Simon
UC Berkeley, Imbue
Blake Bordelon
UT Austin

Additional speakers to be announced.

Previous Workshop

Our October workshop brought together researchers in physics, CS, AI safety, and neuroscience and resulted in several exciting new research directions.

Watch October 2025 Talks

Stay in Touch

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