Projects

Open source contributions

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

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fNIRS machine learning benchmarking framework

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

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fNIRS signal processing

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

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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.

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fNIRS literature review

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

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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.

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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)
  

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Application programming interface

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

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Robotics

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

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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.

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Translation

Translation of YouTube videos form English to French and French to English.