Xingyang Yu

Scientific Consultant, Anthropic · Postdoctoral Associate, Virginia Tech

Xingyang Yu

Exact physics. Checkable AI.

I am a theoretical physicist at Virginia Tech and a part-time Scientific Consultant at Anthropic. The big idea: physics already knows how to check itself — symmetries, anomalies, dualities, and consistency conditions. I turn those exact checks into feedback that AI agents can be tested and trained against.

Roles

Appointments

Apr 2026 – Present

Scientific Consultant, Anthropic

Part-time consulting on research-level theoretical physics problems and evaluations for advanced reasoning, with emphasis on high-energy theory, supersymmetric gauge theories, dualities, and generalized symmetries.

Aug 2023 – Present

Postdoctoral Associate, Department of Physics, Virginia Tech

Research in formal quantum field theory and string theory, focusing on generalized and non-invertible symmetries, SymTFTs, anomalies, brane engineering, and dualities.

Jul 2021 – Jul 2023

Visiting Scholar, University of Pennsylvania

Long-term research visit in the Department of Physics and Astronomy, collaborating on generalized symmetries, non-invertible symmetries, SymTFTs, and brane engineering.

Focus Areas

Research Interests

Physics

Quantum Field Theory & String Theory

Generalized and non-invertible symmetries, SymTFTs, anomalies, dualities, and string-theoretic constructions of quantum field theories — with a focus on how categorical and topological structures organize quantum field theory data.

AI → Physics

AI for Physics

Building tools that check and improve how AI systems reason about fundamental physics — turning a model's claims into precise, auditable checks.

Physics → AI

Physics for AI

Asking whether concepts and organizing principles from theoretical physics can help formulate conceptual and mathematical frameworks for AI systems.

Selected Work

Selected Publications