Jevri Hanna

Researcher at University of Stuttgart

Berlin, Germany
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Summary

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Senior
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Top School
Jevri Hanna is a researcher and computational neuroscientist with nine years of experience applying deep learning and classical machine learning to EEG/MEG for sleep quality, tinnitus, and cognitive studies. He combines rigorous experimental design and statistics from an academic background (PhD, Cambridge) with practical software engineering, contributing notable improvements to the widely used MNE-Python library—especially ICA and PSD/plotting utilities. Skilled across CNNs, RNNs, transformers and generative models (GANs, VAEs, diffusion), he excels at finding hidden patterns in noisy biosignals and rapidly prototyping robust analysis pipelines. Based in Berlin, he has run labs, managed sensitive equipment and IT, and led multi-modal studies integrating EEG and eye-tracking, demonstrating both domain depth and operational leadership.
code9 years of coding experience
job12 years of employment as a software developer
bookDoctor of Philosophy - PhD, Neuroscience and Linguistics, Doctor of Philosophy - PhD, Neuroscience and Linguistics at University of Cambridge
languagesEnglish, German
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Github Skills (17)

python10
scikit10
numpy10
scikit-learn10
data-analysis10
visualization9
ec9
n9
machine-learning9
el9
visualizations9
neuroimaging9
ceph9
refactoring8
pytest8

Programming languages (2)

JavaScriptPython

Github contributions (5)

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mne-tools/mne-python

Feb 2019 - Oct 2022

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Role in this project:
userData Scientist & Software Engineer
Contributions:6 commits, 9 PRs, 79 comments in 3 years 8 months
Contributions summary:Jevri contributed significantly to the MNE-Python project, primarily focusing on enhancing and refactoring the ICA (Independent Component Analysis) functionality for EEG/MEG data analysis. They implemented features for processing reference channels with ICA, improving the detection of bad components, and fixing backwards compatibility issues. They also contributed to the plotting utilities, including refactoring PSD plotting for Raw and Epochs objects, implementing a butterfly plot for epochs PSD.
pythonneuroscienceelectroencephalographymagnetoencephalographyelectrocorticography
jshanna100/mne-python

Apr 2019 - Feb 2024

MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Contributions:85 pushes, 27 branches in 4 years 11 months
pythonelectroencephalographymneeegmagnetoencephalography
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