Marijn Van Vliet
Academy Research Fellow at Aalto University
Helsinki, Mainland Finland
Summary
🤩
Rockstar🎓
Top SchoolMarijn Van Vliet is an Academy Research Fellow and neuroscientist in Helsinki with 15 years of experience turning EEG, MEG and fMRI data into models of how the brain processes language. He combines rigorous experimental design with advanced linear modeling, RSA and connectivity analyses to extract evidence of specific cognitive processes from noisy neural signals. At Aalto he builds computational pathways for spoken and written word recognition while supporting researchers as a research software engineer, bridging science and production-grade code. A committed open-science advocate, he contributes to flagship tools like MNE-Python and has improved both documentation and data-handling features used widely by the neuroimaging community. His background in HCI and early work on BCIs and secure web development give him an unusual blend of practical engineering, reproducible pipelines, and human-centered thinking.
15 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at KU LeuvenMaster, Human Media Interaction, Master, Human Media Interaction at Universiteit TwenteHigh school, Natuur en techniek profiel, High school, Natuur en techniek profiel at Stedelijk Gymnasium Apeldoorn
Dutch, English
Stackoverflow
5,329reputation
692kreached
144answers
20questions
php
top-5%
python
top-5%
Github Skills (24)
qt10
python10
jupyter10
documentation10
debug9
ec9
user-interface9
debugging9
human-interface9
graphical-user-interface9
n9
el9
php9
ceph9
open-source7
Programming languages (14)
Github contributions (5)
jupyter/qtconsole
Sep 2016 - Sep 2022
Jupyter Qt Console
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:27 commits, 14 PRs, 1 push in 6 years
Contributions summary:Marijn primarily focused on improving the Jupyter Qt Console's functionality and fixing bugs. Their contributions included fixing error messages related to script execution using the `%run` command and correctly handling abort messages. They also addressed issues by suppressing tracebacks for KeyboardInterrupt messages and fixing a bug related to pasting text. Furthermore, the user implemented code to properly track and maintain prompt positions within the console.
consolejupyterqt-console
mne-tools/mne-python
Aug 2014 - Sep 2022
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Role in this project:Back-end Developer & Documentation Specialist
Back-end Developer & Documentation SpecialistContributions:103 reviews, 206 commits, 147 PRs in 8 years 2 months
Contributions summary:Marijn made several contributions to the `mne-python` repository, mainly focused on improving the documentation and adding features related to the handling of EEG data. Their commits include fixing documentation errors and extending the existing documentation. The user also introduced enhancements for data handling.
visualizationneuroimagingneurosciencepythonstatistics
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