Steffen聽Schneider
Group Leader (Tenure Track) at Helmholtz Munich
Munich, Bavaria, Germany
Summary
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Top SchoolSteffen Schneider is a tenure-track Group Leader at Helmholtz Munich and CTO of Kinematik AI, combining 11 years of experience across machine learning, computational neuroscience and product-focused AI. He co-founded the non-profit KI macht Schule to bring AI education into German schools, reflecting a rare blend of academic leadership and civic entrepreneurship. His research pedigree includes a PhD from EPFL, AI residencies at Meta and Facebook (where he contributed to wav2vec), and hands-on infrastructure work on high-profile open-source projects such as DeepLabCut鈥攊ntroducing robust Docker builds and deployment automation. Steffen moves fluidly between developing state-of-the-art self-supervised algorithms and shipping production-ready ML systems, with a practical knack for bridging lab research and developer tooling. Based in Munich, he builds teams and products that translate dynamical inference and neuroscience insights into usable interfaces and educational impact.
11 years of coding experience
International Max Planck Research School for Intelligent Systems Computational Neuroscience and Machine Learning, International Max Planck Research School for Intelligent Systems Computational Neuroscience and Machine Learning at Max Planck SocietyMaster of Science (M.Sc.) Neuroengineering, Master of Science (M.Sc.) Neuroengineering at Technical University of MunichDoctor of Philosophy - PhD Neuroscience, Doctor of Philosophy - PhD Neuroscience at EPFLBachelor of Science (B.Sc.) Electrical Engineering Information Technology and Computer Engineering, Bachelor of Science (B.Sc.) Electrical Engineering Information Technology and Computer Engineering at RWTH Aachen University
English, French, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
bash10
docker10
dockers10
cicd9
deep-learning8
deeplearning-ai8
python8
Programming languages (10)
Github contributions (5)
DeepLabCut/DeepLabCut
Sep 2021 - Nov 2022
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Role in this project:
DevOps Engineer
DevOps EngineerContributions:17 reviews, 11 commits, 11 PRs in 1 year 1 month
Contributions summary:Steffen primarily focused on improving the project's infrastructure and build processes, as evidenced by the extensive work on Dockerfiles and helper scripts. They introduced Docker support for various modes (GUI, notebook, and command-line), including macOS support. The user also managed package versioning and updated the PyPI package, demonstrating responsibility for build and deployment automation.
pytorchkeypoint-detectiondefinedmarkerlessdeep-learning
stes/fan
Jul 2017 - Nov 2018
Contributions:2 releases, 20 commits, 7 pushes in 1 year 4 months
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