Michael Lindner

Data Scientist

Germany
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Summary

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Senior
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Michael Lindner is a data scientist and computational neuroscientist with nearly a decade of hands-on experience developing open-source analysis tools, advanced statistical methods, and multimodal neuroimaging workflows (EEG, fMRI, MRS, TMS). He has a PhD in cognitive neuroscience and a strong engineering bent—designing hardware and software solutions, building GPU clusters, and creating toolboxes for detecting directed interactions and dynamic information flow in time series. Comfortable across Python, Matlab, R, C++, SQL and big-data stacks, he bridges method development and practical deployment, teaching and supervising students while advising on MR safety and experimental design. His work uniquely blends MR physics, machine learning, and signal-processing expertise to tackle problems from reaction-time studies to large-scale neuroimaging datasets, and he often contributes reusable, well-documented open-source software for the community.
code9 years of coding experience
job6 years of employment as a software developer
bookEconomics and Informatics, Economics and Informatics at FernUniversität in Hagen
bookPhD (Dr. phil. nat.), PhD (Dr. phil. nat.) at Johann Wolfgang Goethe-Universität Frankfurt am Main
bookLeibniz Gymnasium
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Stackoverflow

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0reached
0answers
0questions
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Github Skills (7)

multivariate-timeseries10
information-theory10
inference9
mri8
converter7
bids7
python6

Programming languages (1)

Python

Github contributions (5)

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DrMichaelLindner/pyfMRIqc

Dec 2018 - May 2019

Calculates and provides information for quality check of functional MRI data. Documentation is available here:
Contributions:3 releases, 56 commits, 45 pushes in 5 months
pythonfunctional-mrimrimri-datadata-documentation
DrMichaelLindner/IDTxl

Apr 2021 - Jul 2026

Contributions:43 pushes, 7 branches in 5 years 3 months
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