Boris Reuderink
Machine Learning Researcher at Cortext
Utrecht, Netherlands
Summary
👤
Senior🎓
Top SchoolBoris Reuderink is a machine learning researcher and founder with 17 years’ experience applying advanced ML and deep learning to biosignals, NLP, recommender systems and time-series problems for clients including TNO, the Netherlands Institute for Neuroscience and Edwards Life Sciences. He combines academic rigor—PhD work on robust, calibration-free brain-computer interfaces and subsequent postdoc research and a patent—with practical product delivery through his company Cortext, building custom algorithms when off-the-shelf methods fall short. An active contributor to the FieldTrip toolbox for MEG/EEG analysis, he focuses on improving code quality and maintainability in neurotech tooling. Based in Utrecht, he advises organizations spanning health, fitness and medical devices, translating noisy biological data into actionable insights and viable products. He also brings an entrepreneurial streak and domain-savvy commercialization experience, having pursued BCI valorization grants and technology demonstrators that bridged research and industry.
17 years of coding experience
MSc, Human Media Interaction, MSc, Human Media Interaction at University of TwentePhD, Brain-computer interfaces, PhD, Brain-computer interfaces at Twente UniversityVrije school Groningen
French, German, Dutch, English
Github Skills (10)
debug10
matlab10
data-analysis10
neuroimaging9
maintenance9
megaparsec9
file-access8
file-handling8
file-processing8
fileio8
Programming languages (8)
Github contributions (5)
fieldtrip/fieldtrip
Nov 2011 - Oct 2012
The MATLAB toolbox for MEG, EEG and iEEG analysis
Role in this project:
Back-end Developer
Back-end DeveloperContributions:154 commits in 11 months
Contributions summary:Boris primarily focused on refactoring and bug fixes within the MATLAB toolbox, "fieldtrip/fieldtrip." Their contributions included replacing legacy code with newer standards (CVS to SVN), fixing typos in documentation, and correcting inconsistencies related to channel label handling and unit conversions. The commits also show a clear involvement in addressing specific issues, like problems in head size estimation and real-time data acquisition. These changes indicate a focus on improving code quality, fixing functional issues, and ensuring the project's maintainability.
brainneurosciencetime-frequencyfieldtripieeg
breuderink/eegtools
Aug 2011 - Jan 2017
Collection of Python modules for EEG analysis. Includes EDF+ and BDF loaders, scalp plots and commonly used spatial filters.
Contributions:88 commits, 2 PRs, 4 pushes in 5 years 6 months
edfpythonbdffilterscommonly
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