Zhaiyu Chen is a research associate and Ph.D. candidate based in Munich with nine years of experience at the intersection of 3D computer vision, remote sensing, and machine learning, focused on reconstructing buildings from point clouds. He brings a strong academic grounding—cum laude MSc in Geomatics from TU Delft and specialized deep learning training at MINES ParisTech—combined with applied research stints at TU Delft and industry exposure at Esri Nederland. His work bridges geospatial data science and practical urban applications, translating dense sensor data into usable 3D models for the built environment. Colleagues describe him as both methodical and inventive, able to move from theoretical model design to prototype systems that address real-world mapping challenges.
9 years of coding experience
Bachelor of Engineering - BE, Remote Sensing Science and Technology, Outstanding Graduate, Bachelor of Engineering - BE, Remote Sensing Science and Technology, Outstanding Graduate at Wuhan University
Visiting Student, Image Processing and Analysis, Visiting Student, Image Processing and Analysis at Technion - Israel Institute of Technology
TU Delft
ATHENS Programme, Deep Learning for Image Analysis, A, ATHENS Programme, Deep Learning for Image Analysis, A at MINES ParisTech
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