Doctoral Researcher at ELLIS - European Laboratory for Learning and Intelligent Systems
Munich, Bavaria, Germany
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Summary
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Stefan Baumann is a doctoral researcher based in Munich with 11 years of experience applying generative machine learning to computer vision and signal processing. Currently pursuing a PhD co-supervised by ELLIS and Meta and affiliated with CompVis, he focuses on large-scale diffusion models and practical generative pipelines. His industry research internships at Intel Labs and Sony explored 3D neural surface reconstruction and diffusion-based audio restoration, bridging theoretical advances with application-driven problems. Stefan has a strong foundations in electrical engineering and signal processing from KIT and a track record building synthetic vision datasets and ML curricula, reflecting both hands-on engineering and teaching experience. Known on GitHub for “making diffusion models go brrrr,” he pairs playful curiosity with rigorous research toward scalable generative systems.
11 years of coding experience
2 years of employment as a software developer
Abitur, Abitur at Oberrhein-Gymnasium Weil am Rhein
Master of Science - MS, Electrical Engineering and Information Technologies, Signal Processing, Master of Science - MS, Electrical Engineering and Information Technologies, Signal Processing at Karlsruher Institut für Technologie (KIT)
Contributions:2 releases, 42 commits, 16 pushes in 5 days
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