
Mathys Loiselle
Computer Science Honours Student | Focus on Machine Learning
About Me
I am Mathys Loiselle, a Computer Science Honours student at Concordia University in Montreal with a minor in Mathematics & Statistics. My focus lies in Machine Learning and Deep Learning, particularly in understanding the fundamental theory behind how models learn. I am deeply interested in Neuroscience and exploring how advanced brain structures can inspire breakthroughs in machine intelligence. With plans to pursue graduate studies in this field, I am committed to contributing significant research that advances both the academic community and human knowledge.
My research interests span several interconnected areas: Temporal Graph Neural Networks, Mathematical foundations of Machine Learning, Reinforcement Learning, Robotics, Computer Vision, and Physics (particularly Quantum Physics and Astrophysics). I actively seek collaboration opportunities in these fields and am eager to engage in research projects that push the boundaries of artificial intelligence and its applications.
Research Interests
- Core Machine Learning & Deep Learning Theory
- Computational Neuroscience & Bio-inspired AI
- Applied AI Systems
Technical Focus
- Advanced Neural Architectures
- ML Systems & Implementation
- Mathematical Modeling & Optimization