👋 Hi, I'm Matthieu, a Master's student in Neuroengineering at EPFL with a minor in Data Science.
- Applied Machine Learning for Performance Analysis - Developed machine learning models for human activity recognition, fall detection, and fitness activity classification.
- Image Denoising
- Improved image quality by reducing noise using state-of-the-art denoising techniques and models.
- Multi-Platform Neuromuscular Simulation Framework - Developed integrations of electrical stimulation of the spinal cord with musculoskeletal models to predict EMG and limb kinematics.
- Neural Response to Music - Explores neural processing of emotionally provocative auditory stimuli using fMRI data.
- EMG Signal Analysis for Intention Decoding - Processes and analyzes EMG signals to decode the intended actions of individuals.
- Humor Through Data - A website showcasing humor analysis across datasets and models.
- NSNX Website - Building the future website of the NeuroStudents’ NetworX association.
- Matthieu's Portfolio - My own portfolio, still under work!
