Fabien Pfaender is a data-focused academic and engineering leader with 11 years of experience shaping engineering education and applied urban data science in Shanghai. As French Dean at UTSEUS he defines institutional strategy and fosters Franco-Chinese university partnerships, while as an associate professor he teaches and researches data science, visualization, network theory and NLP applied to urban spaces. He develops practical tooling for large-scale road network analysis (author of the policosm road-graph library) and specializes in exploratory methods for massive, heterogeneous datasets grounded in his PhD in visualization, perception and semiology. Comfortable at the intersection of research, teaching and institutional leadership, he combines deep technical craft with a knack for turning complex spatial networks into actionable insights.
11 years of coding experience
3 years of employment as a software developer
French Baccalaureate with good mention, Scientific (Mathematics, Physics and Biology), Physics and experimental work intensive course, French Baccalaureate with good mention, Scientific (Mathematics, Physics and Biology), Physics and experimental work intensive course at Albert Camus High School
Doctor of Philosophy (Ph.D.), Visualization, perception, semiology, Doctor of Philosophy (Ph.D.), Visualization, perception, semiology at Université de Technologie de Compiègne
Master of Science, Science and Technology, specialty cognitive science and philosophy, Master of Science, Science and Technology, specialty cognitive science and philosophy at Université de Technologie de Compiègne (UTC)
Contributions:15 commits, 8 pushes, 1 branch in 1 month
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