John Sous
Yale University
I am a theoretical physicist and an Assistant Professor of Applied Physics and Physics at Yale University. My group uses the tools of physics, such as statistical mechanics and information theory, to study condensed matter, quantum science, and artificial intelligence. We aim for a unifying understanding of interacting statistical systems, and for mechanistic explanations of specific phenomena of wide interest, from the emergence of scaling laws in modern AI systems to mechanisms for high-temperature superconductivity that can operate in real materials.
News
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October 2026
Interview in New Scientist: Will physics be the next field to get turned upside down by AI?
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September 2026
Four papers accepted at NeurIPS 2026.
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September 2026
New paper: How good are frontier models at physics? Expert re-grading shows that leading physics benchmarks are broken, and that, contrary to what their published scores suggest, frontier models are close to saturating them.
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September 2026
New paper on world models that learn physics: Semigroup-JEPA: Latent dynamics consistency for zero-shot physics generalization.
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July 2026
We organized AI4Physics, the first ICML workshop on AI for physics, at ICML 2026 in Seoul.