Michael Berger

Group Lead Data Science And Machine Learning

Garching bei München, Bavaria, Germany
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Summary

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Senior
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Top School
Michael 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.
code10 years of coding experience
job12 years of employment as a software developer
bookDiplom, Physics, Diplom, Physics at Ruhr University Bochum
bookDoctor of Philosophy (Ph.D.), Systems Neuroscience, Doctor of Philosophy (Ph.D.), Systems Neuroscience at The University of Göttingen
languagesGerman, English, Spanish
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Github Skills (21)

matlab10
ggplot10
toolbox9
visualization9
plot9
statistics9
data-visualization8
pose-estimation8
recurrent-neural-networks8
visualizations8
deep-learning6
api5
multi-agent-reinforcement-learning5
gymnasium4
tensorflow4

Programming languages (2)

HTMLPython

Github contributions (5)

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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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