Mathieu Scheltienne
Senior Software Engineer at Dandelion Science
Geneva, Geneva, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolMathieu Scheltienne is a Senior Software Engineer based in Geneva with five years of hands-on experience building neurotechnology software for clinical and research settings. He currently develops generative neuromodulation platform components at Dandelion Science and previously engineered M/EEG acquisition and processing tools at Fondation Campus Biotech and EPFL. His work bridges embedded stimulation systems (ONWARD) and Python-based neurophysiology tooling—he contributed ECG filtering and peak detection improvements to the widely used NeuroKit2 library. Comfortable across simulation, signal processing, and production back ends, he has driven features that improved reproducibility and reduced dependency fragility in open-source code. Mathieu’s background in bioengineering and device R&D (including contributions leading to patents) gives him a rare mix of clinical-domain insight and pragmatic software craftsmanship.
5 years of coding experience
5 years of employment as a software developer
MSc Engineering, MSc Engineering at Arts et Métiers ParisTech - École Nationale Supérieure d'Arts et MétiersMaster BME, Bioengineering and Innovation in Neurosciences, Master BME, Bioengineering and Innovation in Neurosciences at University Paris Descartes
English, Romanian, French
Stackoverflow
5,526reputation
527kreached
177answers
120questions
python
top-5%
spyder
top-5%
Github Skills (15)
scipy10
python10
ekg10
signal-processing10
spyder9
pandas9
python-multithreading6
multiprocessing6
python-multiprocessing6
visible6
pyqt6
forloop6
numpy6
code-formatting6
matplotlib6
Programming languages (13)
Github contributions (5)
neuropsychology/NeuroKit
Jan 2022 - Feb 2022
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 1 PR, 11 comments in 18 days
Contributions summary:Mathieu primarily contributed to the `neuropsychology/neurokit` repository by modifying code related to ECG signal processing. Their work included refactoring ECG filter implementations, optimizing and incorporating the 'sos' method, and computing initial conditions for ECG filters within the `ecg_clean.py` and `ecg_findpeaks.py` files. They also addressed dependency issues by removing or reverting changes related to MNE (Optional dependency). Other changes include a refactor in `read_bitalino.py`.
signalentropyheart-ratepythonneuroscience
mscheltienne/eeg-flow
Dec 2021 - Jan 2025
Contributions:25 reviews, 27 PRs, 156 pushes in 3 years 1 month
audioeegoddball
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.