Siqi Yuan is a software engineer and PhD physicist with nine years of experience building data-driven tools for large-scale particle physics experiments and industry. She has led analysis and software efforts on the CMS experiment at CERN—searching for dark matter in mono-jet events, improving jet reconstruction, and preparing silicon pixel tracker upgrades for the HL-LHC—while also shipping production software at Bloomberg. Comfortable across Python, C++, cloud vectorized computation and detector simulations, she bridges research-grade analysis with robust engineering practices and on-call operational experience. Siqi is known for translating complex physics needs into reusable software and training materials within large collaborations, and for optimizing noisy detector data pipelines under real-time constraints.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at 清华大学
Doctor of Philosophy - PhD, Physics, 4.0, Doctor of Philosophy - PhD, Physics, 4.0 at Boston University
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