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Open source contributions

  • MNE-Python: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
  • tmdbsimple: A wrapper for The Movie Database API


Developed a brain-controlled robot for interacting in real-time with an ensemble of musician.
Source code on GitHub.

fNIRS machine learning benchmarking framework

Developed an open source Python framework for benchmarking machine learning with fNIRS.
Source code on GitLab.

fNIRS signal processing

Developed an open source Python package for fNIRS signal processing.
Source code on GitHub.

fNIRS classification models

Implemented machine learning models (support vector machine, convolutional neural network) to classify mental workload from fNIRS brain data (Scikit-learn & PyTorch).
Source code on GitLab.

fNIRS literature review

Built a website to reference and summarize interesting papers about machine learning for fNIRS (Vue.js & Materialize).
Go to the website.

Website template

Built a template that enables to write content in simple text files which are converted into a responsive personal website (Jekyll & Bootstrap).
Source code on GitHub.

Mobile application

Built a community application to find travel groups:

  • Front-end mobile development using NativeScript-Vue for a cross platform service (source code on GitLab)
  • Back-end web development using Node.js and MongoDB to create a REST API sending JSON response (source code on GitLab)

Application programming interface

Built a REST API sending JSON response for a series recommendation website (Django & MySQL).
Source code on GitHub.


Implemented robotics behaviors for LEGO Mindstorms EV3 with basic AI algorithms (Java).
Source code on GitHub.

Data analysis tutorials

Created data analysis tutorials on R studio (in French):

  • Student’s t-test
  • Analysis of variance
  • Correlation, linear regression
  • Logistic regression
  • Principal component analysis
  • Multiple correspondence analysis

Go to the website.