Xinyi Luo is a Senior Research Scientist at Lyft, overseeing the bonus zone product since August 2023. Previously, as a Research Scientist at Lyft, Xinyi led the algorithm design for a real-time driver incentive system, achieving a $35 million increase in annual profit through two deployments across over 200 cities. Xinyi's experience includes an internship as a Research Scientist Intern at Lyft focused on algorithms and optimization in mid-2022, and a research internship at Alibaba Group's DAMO Academy, where the focus was on presolve methods for Semidefinite Programming solvers. Additional research experience includes an internship at Los Alamos National Laboratory, contributing to the development of a Sequential Quadratic Programming solver. Xinyi holds a PhD in Industrial Engineering and Management Science from Northwestern University and a Bachelor of Science with double majors in Applied Math and Management Science from UC San Diego.
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