Michael Rabinovich

Research Scientist at Hugging Face

Zurich, Zurich, Switzerland
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Summary

👤
Senior
🎓
Top School
Michael Rabinovich is a research scientist and PhD-trained geometry processing specialist with a decade of experience at the intersection of 3D geometry, simulation, and AI. He has led and built research teams and products across startups and industry—founding 3D research at CommonGround-AI, advancing virtual human and scene customization at Microsoft, creating simulated 3D worlds for robotics, and now developing open-source 3D AI tools at Hugging Face. His award-winning academic work from ETH Zurich (ETH medal for his thesis) underpins practical contributions like scalable locally injective mappings used in Blender and novel discrete differential geometry methods. Comfortable spanning low-level systems, security research, and high-level ML, he brings rare depth in both mathematical foundations and production-grade engineering. Based in Zurich, he combines academic rigor with product-minded research to make 3D tooling more accessible for engineering and robotics applications.
code10 years of coding experience
job10 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at ETH Zürich
bookBachelor of Science (BSc), Mathematics, Bachelor of Science (BSc), Mathematics at The Open University of Israel
languagesHebrew, German, English
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Github Skills (24)

geometry-processing9
simulations8
algorithm8
python-modules7
3d7
cpp7
vtk7
huggingface6
mesh6
visualization6
benchmark6
scientific-visualization5
cad5
python5
3d-graphics5

Programming languages (2)

C++Python

Github contributions (5)

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Implementation of 2D-parametrization algorithm introduced by the paper "Scalable Locally Injective Mappings". Currently support only the Symmetric Dirichlet isometric energy.
Contributions:8 commits, 6 pushes, 1 branch in 3 years 1 month
Contributions:14 pushes, 1 branch in 6 years 4 months
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