Guoyang Qin is a postdoctoral researcher at Tongji University with a decade of experience at the intersection of data mining, visualization, and transportation system design and optimization. He blends rigorous academic training—a PhD in Transportation Engineering with a visiting research stint at the University of Michigan—with hands-on industry exposure from a Big Data R&D internship at DiDi Autonomous Driving. Guoyang excels at turning large-scale travel and behavioral data into actionable system designs and visual narratives, and he pairs technical curiosity with creative interests in graphic design and animation. Based in Shanghai, he is driven by a broad appetite for learning—anything from languages to counterintuitive facts—which informs both his interdisciplinary research and pragmatic coding practice.
10 years of coding experience
Doctoral degree, Transportation Engineering, Doctoral degree, Transportation Engineering at Tongji University
Visiting PhD Student, Transportation System Design and Optimization, Visiting PhD Student, Transportation System Design and Optimization at University of Michigan
Bachelor's degree, Transportation Planning and Management, Bachelor's degree, Transportation Planning and Management at Southwest Jiaotong University
Contributions:22 pushes, 1 branch in 1 year 9 months
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Guoyang Qin - Postdoctoral Research Fellow at Tongji University