Christian Baumgartner
Assistant Professor at University of Lucerne
Tübingen, Baden-Württemberg, Switzerland
Summary
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Senior🎓
Top SchoolChristian Baumgartner is an Assistant Professor and Independent Research Group Leader specializing in bringing machine learning into clinical practice by tackling foundational ML problems such as uncertainty quantification, explainability, and learning from large datasets with few labels. With a PhD in Medical Image Analysis and over a decade of experience across academia and industry—from postdoctoral work at ETH Zürich and Imperial College to R&D for augmented reality at PTC—he blends rigorous theoretical research with practical system development. His work emphasizes probabilistic and generative models for medical imaging and has informed both automated diagnosis tools and AR-enabled ML applications. Based in Tübingen and Lucerne, he leads the ML in Medical Image Analysis group and maintains an active publication record that underpins translational impact in healthcare.
10 years of coding experience
5 years of employment as a software developer
Master of Science (M.Sc.), Bioengineering and Biomedical Engineering, Master of Science (M.Sc.), Bioengineering and Biomedical Engineering at Eidgenössische Technische Hochschule ZürichDoctor of Philosophy (PhD), Medical Image Analysis, Doctor of Philosophy (PhD), Medical Image Analysis at King's College London, U. of London
German, English, Polish, French, Russian
Github Skills (37)
segmentation10
image-processing9
singularity-container9
proc9
deep-learning9
uncertainty9
computer-vision9
opencv8
medical8
python8
image-segmentation8
singularity8
slurm8
pytorch7
docker7
Programming languages (6)
Github contributions (5)
baumgach/PHiSeg-code
Jun 2019 - Dec 2019
Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019
Contributions:18 commits, 15 pushes, 2 branches in 6 months
segmentationcapturingmedical-imagedeep-learningimage-segmentation
baumgach/vagan-code
Mar 2018 - Mar 2022
Tensorflow implementation of 'Visual Feature Attribution using Wasserstein GANs'
Contributions:30 commits, 1 PR, 41 pushes in 4 years
deep-learningwassersteinfeature-attributionwasserstein-gansattribution
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