Sanha Cheong is a Stanford Physics PhD candidate turning Quantitative Researcher at Citadel Securities, bringing a decade of experience in large-scale experimental physics, machine learning, and detector development. He led novel Higgs exotic-decay searches on the ATLAS experiment, building C++/Python analysis frameworks and deploying transformers and graph neural networks into production-ready C++ via ONNX for fast inference. He also applies collider ML expertise to quantum-sensor efforts on MAGIS-100, developing 3D imaging and distributed multi-camera systems for precision atom interferometry. Comfortable at the intersection of hardware and software, Sanha has hands-on experience with silicon detector prototyping, DAQ systems, and rigorous statistical methods, and he designed and taught a statistics course for physicists at Stanford. His background includes a military leadership stint as a field-artillery sergeant, underscoring operational discipline and team leadership in high-stakes environments.
10 years of coding experience
2 years of employment as a software developer
High School, IB Diploma, High School, IB Diploma at Yew Chung International School of Shanghai
Bachelor's Degree, Physics & Astronomy, Mathematics, Bachelor's Degree, Physics & Astronomy, Mathematics at University of Rochester
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Stanford University
Contributions:8 commits, 5 pushes, 1 branch in 1 year 4 months
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