Summary
Raphael Sulzer is a research engineer and postdoctoral researcher with nine years of experience at the intersection of geometry processing, computer vision and deep learning, currently contributing to LuxCarta and the TITANE team at Inria in Île-de-France. He holds a PhD focused on learning surface reconstruction from point clouds and a strong geomatics foundation from Delft and Stuttgart, blending academic rigor with applied GIS and photogrammetry practice. Raphael has built production-oriented tooling and QGIS plugins for spatial planning and taught e-learning courses, demonstrating an ability to translate research into usable software and training. His work spans from custom GIS UIs in Qt and Python to state-of-the-art neural approaches for 3D reconstruction, and he often bridges domain-specific mapping requirements with modern ML methods. A less obvious strength is his track record of delivering both pedagogy and production code—making complex spatial algorithms accessible and operational.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Learning Surface Reconstruction from Point Clouds in the Wild, Doctor of Philosophy - PhD, Learning Surface Reconstruction from Point Clouds in the Wild at Université Gustave Eiffel
MSc Geodesy and Geoinformatics, MSc Geodesy and Geoinformatics at University of Stuttgart
Master's Degree, MSc Geomatics for the Built Environment, Cum Laude, Master's Degree, MSc Geomatics for the Built Environment, Cum Laude at Delft University of Technology
German, English, Dutch, French