Mathys Loiselle Portfolio

1. About

I am Mathys Loiselle, a Computer Science Honours student at Concordia University with a minor in Mathematics & Statistics. My research lies at the intersection of machine learning and neuroscience. I am currently an undergraduate researcher at Mila, working on multimodal neural decoding, and I lead the machine learning team for Space Concordia's Space Health division. I plan to pursue graduate studies to bridge insights from machine learning, computational neuroscience, and mathematics.

1.1 Current Affiliations

Concordia University✦Mila - Quebec AI Institute✦Space Concordia

2. CV

Open PDF

2.1 Education

BCompSci Computer Science, Honours

Concordia University - Montreal, QC

2022 - 2026

✦Dean's List: Fall 2023 - Winter 2025
✦Minor in Mathematics & Statistics
✦Data Structures & Algorithms (A+), Theoretical CS (A+), Computer Graphics (A)
✦Multivariable Calculus I & II (A+), Linear Algebra (A), Probability & Statistics (A)

2.2 Experience

Undergraduate Student Researcher

Mila (Quebec AI Institute) - Montreal, QC

Mar 2025 - Present (8 months)

✦Supervised by Dr. Guillaume Lajoie and Dr. Matthew Perich
✦Conduct research on multimodal neural decoding for brain-computer interfaces (BCIs)
✦Develop transformer-based architectures to enhance BCI performance (PyTorch)

Lead Machine Learning Engineer - Space Health

Space Concordia - Montreal, QC

Feb 2025 - Present (9 months)

✦Lead a team of 10 ML engineer students
✦Develop a transformer-based model and compare with baselines (PyTorch)
✦Conduct research on brain structure prediction during long-duration spaceflight

AI Software Developer - Internship

TaylorMade Golf - Carlsbad, California

September - December 2024 (4 months)

✦Implemented voice assistant features for TaylorMade chatbot (Angular/C#/Azure)
✦Developed an automatic color adjustment algorithm (Python/React)
✦Introduced order processing anomaly detection system using Mahalanobis distance (Python)

Computer Vision Engineer

Nano Stride - Montreal, QC

October 2023 - January 2024 (4 months)

✦Built real-time robotics head motion control algorithms (OpenCV, Dlib)
✦Collaborated with multidisciplinary engineers on robotics control systems

Dataset Annotator

Concordia Applied AI Institute - Montreal, QC

November 2023 (1 month)

✦Dataset annotation for ML model training/testing
✦Collaborative team input for data optimization

2.3 Technical Skills

Programming

✦Python
✦JavaScript
✦Java
✦C/C++/C#
✦TypeScript

AI/ML

✦PyTorch
✦TensorFlow
✦Keras
✦OpenCV
✦Dlib

Web & Cloud

✦React
✦Angular
✦Azure
✦Firebase
✦HTML/CSS

Other Tools

✦VSCode
✦Git
✦JetBrains Products
✦Jupyter Notebook

2.4 Research Interests

✦Machine Learning
✦Computational Neuroscience
✦Neural Decoding
✦Mathematics
✦Natural Language Processing

3. Projects

ConUHacks IX - Concordia Virtual Tour++

February 2025 (1 month)

At ConUHacks IX, Quebec's largest hackathon, our team developed an innovative solution to revolutionize Concordia University's virtual campus tour experience. The project placed in the top 5 among 200+ submissions, demonstrating both technical excellence and practical utility. We leveraged 3D Gaussian Splatting, a cutting-edge machine learning technique in computer graphics, to transform traditional static images into a fully immersive 3D environment that visitors can freely explore.

Website GitHub Demo

Reinforcement Learning Rocket League Agent

November - December 2024 (2 months)

A reinforcement learning project that trains an agent to play Rocket League, a physics-based vehicular soccer game. The system implements a PPO (Proximal Policy Optimization) architecture to teach the AI agent complex 3D movement, ball control, positioning, and basic-to-intermediate strategy, effectively translating high-dimensional games states into meaningful actions.

Smart Marshmallow RC Tank

June - August 2024 (3 months)

As part of a multidisciplinary Concordia IEEE team, I helped build an innovative RC car from scratch. The vehicle included a marshmallow launcher guided by an automated targeting system using MediaPipe's pre-trained computer vision model for facial and object detection. The project was showcased at Concordia's Frosh 2024, where it playfully launched marshmallows into students' mouths on command.

Website GitHub

Cody AI Service Robot

October 2023 - January 2024 (4 months)

At Nano Stride, Concordia's leading AI and robotics club at the time, I contributed to the development of Cody, a nearly 6-foot service robot designed to interact with passers-by. I focused on Cody's computer vision system, implementing detection of people, facial expressions, body pose, and other subtle cues. This experience not only deepened my technical skills but also sparked my passion for machine learning and the problem-solving mindset it demands.