Raphael Sulzer
Research Engineer at LuxCarta
Ile-de-France
Summary
👤
Senior🎓
Top SchoolRaphael 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 EiffelMSc Geodesy and Geoinformatics, MSc Geodesy and Geoinformatics at University of StuttgartMaster'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
Github Skills (102)
cgal10
computer-graphics10
computational-geometry10
cpp10
graph-convolutional-networks10
mesh-processing10
mesh10
rendering10
polygon10
delaunay-triangulation10
3d-reconstruction10
geometry10
odometry10
geometry-processing10
graph-neural-network10
Programming languages (5)
Github contributions (5)
raphaelsulzer/convolutional_occupancy_networks
Oct 2020 - Jul 2024
[ECCV'20] Convolutional Occupancy Networks
Contributions:34 pushes, 2 branches, 2 comments in 3 years 9 months
eccvoccupancycomputer-visionconvolutional
raphaelsulzer/dgnn
Nov 2021 - Nov 2022
[SGP 2021] Scalable Surface Reconstruction with Delaunay-Graph Neural Networks
Contributions:67 commits, 70 pushes, 8 branches in 1 year
delaunaygraph-neural-networksgpsurface-reconstructiongraph-neural-networks
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