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Dr. Shih-Chieh Hsu is a Professor of Physics at the University of Washington and a researcher at CERN, where he works on the ATLAS experiment at the Large Hadron Collider. His research focuses on using machine learning to analyze massive physics datasets — finding signals in noise at a scale that few other domains demand.

At CERN, Shih-Chieh has developed AI methods for particle physics that must meet extraordinarily high standards of statistical rigor and reproducibility. This experience directly informs Khorium’s approach to simulation validation: every result must be not just plausible, but provably correct within quantified uncertainty bounds.

As a physics advisor, he ensures that Khorium’s AI respects the fundamental laws that govern the simulations it automates. When MeshGen places refinement zones or SimOps configures boundary conditions, the underlying physics must be honored — not just approximated. Shih-Chieh is the team’s conscience on physical correctness.