Qijian Gan
Computational Data Science Research Specialist
Berkeley, California, United States
Summary
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Senior🎓
Top SchoolQijian Gan is a Computational Data Science Research Specialist based in Berkeley with a decade of hands-on experience applying advanced modeling, simulation, and data-driven methods to transportation systems. He holds a PhD in Transportation Systems Engineering from UC Irvine and has progressed from graduate researcher to postdoc and research engineer roles within Partners for Advanced Transportation Technology, now focusing on computational solutions for traffic state estimation, control, and CAV applications. His expertise spans network flow theory, microscopic and macroscopic simulation (Aimsun, TransModeler, CTM), data fusion and machine learning for real-time state estimation and prediction, and novel signal optimization via deep reinforcement learning. Qijian combines academic rigor with practical project management and proposal-writing skills, routinely bridging theory and deployable ITS solutions for integrated corridor management. An oft-overlooked strength is his fluency across both legacy traffic modeling techniques (ARMA, CTM) and modern ML/Data-fusion approaches, enabling hybrid methods that improve robustness in real-world, noisy sensor environments.
10 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Automatic Control, Bachelor's degree, Automatic Control at University of Science and Technology of ChinaMaster's degree, Transportation Systems Engineering, Master's degree, Transportation Systems Engineering at University of California, Irvine
English, Chinese, ChineseGithub contributions (5)
Qijian-Gan/detector_health
May 2016 - Aug 2017
Contributions:50 commits, 15 pushes, 1 branch in 1 year 3 months
Qijian-Gan/arterial_data_analysis
Mar 2018 - Sep 2019
Contributions:2 pushes, 1 branch in 1 year 5 months
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