Guozhen Li is a Data & Applied Scientist with eight years’ experience applying data science, optimization, and GIS to transportation and alternative fuels, currently working on Microsoft Maps & Geospatial location understanding in Redmond. He holds a Ph.D. in Transportation Technology and Policy and a CS master’s from UC Davis, melding rigorous research with practical software and big-data skills in Python, SQL, and optimization solvers like Gurobi. Guozhen has led early hydrogen refueling infrastructure planning studies, building integer-programming network models and reproducible Python workflows that supported policy and industry decision-making. He brings cross-disciplinary experience from NREL and aviation analytics to automate complex data pipelines and deliver clear visualizations for technical and non-technical audiences. An FAA-certified private pilot with extensive instrument and cross-country experience, he combines operational domain knowledge with modeling expertise—an unusual asset when designing transportation systems that must work in the real world.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Transportation Technology and Policy, Doctor of Philosophy (Ph.D.) Transportation Technology and Policy at University of California, Davis
Bachelor's degree Hydraulic and Hydropower Engineering, Bachelor's degree Hydraulic and Hydropower Engineering at Tsinghua University
Contributions:34 commits, 28 pushes, 1 branch in 4 years 3 months
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