Ruben Wiersma

Research Scientist at Adobe

France
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Summary

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Senior
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Top School
Ruben Wiersma is a postdoctoral researcher at ETH Zürich's Interactive Geometry Lab, combining a decade of experience in geometry processing, optimization, and machine learning with a strong track record of SIGGRAPH and CVPR publications from his PhD at TU Delft. He specializes in geometric deep learning and computational imaging, with practical impact demonstrated by museum-scale projects like a 10x magnification 3D print and digital restoration for the Mauritshuis. Ruben bridges academic rigor and industry practice through an Adobe research internship on material capture and differentiable rendering, and he brings hands-on software skills in C++, Python, and PyTorch. Equally at home collaborating with creatives, he co-founded a video and design studio and continues to make short films and music—an unusual blend that informs his user- and aesthetics-aware approach to technical problems.
code11 years of coding experience
job11 years of employment as a software developer
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Delft University of Technology
languagesDutch, English
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Stackoverflow

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Github Skills (24)

geometric-deep-learning10
convolutional-neural-networks10
siggraph10
pytorch-geometric10
graph-neural-network10
graph-convolutional-networks10
pytorch9
scatter9
deep-learning9
point-cloud9
blender8
segment8
3d8
frequency-analysis6
rendering6

Programming languages (7)

JavaCSSC++RustHTMLJupyter NotebookPython

Github contributions (5)

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bk7084/assignments

Nov 2021 - Dec 2023

Contributions:2 PRs, 84 pushes, 1 branch in 2 years
rubenwiersma/hyperbolicgnn

Nov 2021 - Dec 2021

Contributions:62 commits, 27 pushes in 17 days
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