Michael Tangermann
Head Of Dept. Machine Learning And Neural Computing, PI Data-driven Neurotechnology Lab
Freiburg im Breisgau, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolMichael Tangermann is a research-driven leader in neurotechnology and machine learning with 13 years of experience building adaptive brain-state decoding systems and translational neurotech applications. As Head of Dept. Machine Learning and Neural Computing and PI of a data-driven neurotechnology lab, he develops transfer-learning, adaptive decoding and regularization methods for non-stationary multivariate neural time series (EEG/MEG/LFP/EMG) and applies them in clinical and human-robot interaction settings. He has led academic labs and taught as a substitute professor, bridging foundational research with clinical projects such as stroke rehabilitation and deep brain stimulation. Michael’s work emphasizes practical algorithmic solutions—data augmentation, learning from label proportions and spatial filtering—that reduce calibration needs for real-world BCI and closed-loop systems. Based in Freiburg and embedded in strong academic-medical-industrial partnerships, he combines methodological depth with a clear focus on deployable neurotechnology.
14 years of coding experience
17 years of employment as a software developer
Diploma, Computer Science / Informatics, Diploma, Computer Science / Informatics at University of Tübingen
Github Skills (10)
matlab10
multi-monitor5
vala4
pdf-files3
pdf-viewer3
python2
linux1
privacy1
vpn1
security1
Programming languages (4)
Github contributions (5)
MTangermann/BCI-2023-Workshop_Learning-from-small-datasets
Jun 2023 - Jun 2023
Collection of materials and links to talks given, tools presented, software demos etc.
Contributions:5 pushes, 1 branch in 2 days
jsosulski/umm_demo
Jun 2023 - Jun 2023
Contributions:3 pushes in 1 day
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