Position: Master’s student in Physics, Université Laval
Academia: Bachelor’s degree in Physics, Université Laval
Advisors: Prof. Daniel Côté and Prof. Patrick Desrosiers
Analysis and modeling of zebrafish functional units
This project aims to study the neuronal activity of zebrafish by recreating the causal links between neurons in the form of complex networks. The construction of such networks will be done using statistical methods based on information theory, which allows abstraction from the biology of the brain. This also allows a statistical study of the various functional units, especially from an information processing point of view.
Gabriel has always been intrigued by the fundamentals of life and the Universe. His curiosity brought him to quantum mechanics as early as high school. Although he studied computer sciences in college, he finally opted for physics when he entered at Laval University in 2017. His academic background, mixing computed sciences and physics, lead him to his first research internship in the DCCLab during summer 2019, in which he also discovered an interest in data analysis. Always wanting to improve, optimize and clean his code, Gabriel hopes to learn more about physics, programming and neurosciences during his Master with Daniel Côté’s team. Outside of research and learning, Gabriel loves video games, science fiction and metal (the music, not the matter… well also the matter).