Michael Berger
Group Lead Data Science And Machine Learning
Garching bei München, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolMichael Berger is a Group Lead in Data Science and Machine Learning with a decade of experience bridging cognitive science, neurotechnology, and applied computer vision. He has led interdisciplinary teams in Europe and the US to deliver solutions ranging from automated research systems and motion-analysis pipelines to video-based behavior classification and a prototype brain-computer interface. His background combines a PhD in Systems Neuroscience with hands-on engineering—building data management infrastructure, explainable RNNs, and production ADAS data pipelines. Michael has a track record of securing funding and publishing peer-reviewed work, and his tools formed the basis for commercialized systems and large collaborative projects. Known for mentoring junior researchers and leading cross-functional teams, he brings both academic rigor and product-focused execution to machine learning initiatives. An uncommon strength is his ability to translate complex neuroscience experiments into scalable, deployable engineering systems.
10 years of coding experience
12 years of employment as a software developer
Diplom, Physics, Diplom, Physics at Ruhr University BochumDoctor of Philosophy (Ph.D.), Systems Neuroscience, Doctor of Philosophy (Ph.D.), Systems Neuroscience at The University of Göttingen
German, English, Spanish
Github Skills (37)
pose9
toolbox9
octave8
pose-estimation8
meta-analysis8
recurrent-neural-networks8
mathematica7
plot7
matlab7
deep-learning7
api6
statistics6
pytorch6
20486
multi-agent-reinforcement-learning6
Programming languages (1)
Github contributions (5)
sensorimotorgroupdpz/MaCaQuE
Jul 2018 - May 2020
Contributions:2 releases, 6 commits, 2 pushes in 1 year 10 months
bergem1t/DeepLabCut
Oct 2018 - Jun 2020
Markerless tracking of user-defined features with deep learning
Contributions:31 pushes in 1 year 8 months
deep-learningtrackingdefinedmarkerless
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