Steffen Czolbe
Machine Learning Research Engineer at Radiobotics
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolSteffen Czolbe is a Machine Learning Research Engineer with a Ph.D. and eight years of research and industry experience building high-performance, regulated AI systems. He designs, validates, and deploys clinically approved ML models—currently contributing to CE- and FDA-cleared X-ray tools used in hospitals worldwide. Combining top-tier academic accomplishments (NeurIPS publications and awards) with production-grade software engineering, he is fluent in Python, PyTorch, and remote compute workflows. His background spans interdisciplinary collaborations at Harvard/MGH and product-focused work with industry partners like LEGO, reflecting an ability to translate cutting-edge research into practical, validated solutions. Based in Copenhagen but internationally experienced in Boston and Hamburg, he brings both academic rigor and operational leadership to safety-critical ML deployments.
8 years of coding experience
3 years of employment as a software developer
BSc, Computer Science, ECTS Grade A, BSc, Computer Science, ECTS Grade A at FH Wedel - University of Applied SciencesMSc, Computer Science, 11.75/12, MSc, Computer Science, 11.75/12 at Københavns Universitet - University of Copenhagen
German, English, Danish
Github Skills (43)
optical-flow10
probabilistic9
image-registration9
unsupervised-learning9
python8
deep-learning8
gpu8
machine-learning8
numpy7
keras7
perlin-noise6
neural-network6
api6
tensorflow6
pytorch6
Programming languages (2)
Github contributions (5)
SteffenCzolbe/pyLDDMM
Dec 2019 - Oct 2020
Python Implementation of the LDDMM algorithm
Contributions:8 commits, 5 PRs, 4 pushes in 10 months
python-implementationpython
SteffenCzolbe/PerceptualSimilarity
Aug 2019 - Jan 2021
Contributions:1 release, 30 commits, 1 PR in 1 year 4 months
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