Michael Lindner
Data Scientist
Germany
Summary
👤
Senior🎓
Top SchoolMichael 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.
9 years of coding experience
6 years of employment as a software developer
Economics and Informatics, Economics and Informatics at FernUniversität in HagenPhD (Dr. phil. nat.), PhD (Dr. phil. nat.) at Johann Wolfgang Goethe-Universität Frankfurt am MainLeibniz Gymnasium
Github Skills (11)
information-theory10
dynamical-systems10
state-space10
theory10
dynamics10
inference8
time-series8
mri8
converter6
python5
bids5
Programming languages (1)
Github contributions (5)
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/LSEx.m
Apr 2018 - Mar 2019
Contributions:7 releases, 6 pushes, 1 branch in 10 months
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