I’m Gabriel Sasseville, a master’s student in astrophysics co-supervised by Julie Hlavacek-Larrondo at University of Montreal and Daryl Haggard at McGill, specializing in the use of artificial intelligence to tackle complex scientific challenges. My current research involves developing and applying machine learning methods to better understand black hole physics. More specifically, I am working on a Diffusion based model for interpolation of multivariate asynchronous time series data, which I am applying to the multi-wavelength data of Sagittarius A*. Prior to this project, I completed a B.Sc. in Physics and Computer Science at University of Montreal and I also worked on developing a Bayesian statistical model for fitting the M-sigma relation. I have a strong academic foundation in both computer science and physics, with experience across computer vision, generative AI, and probabilistic modeling.

Driven by a passion for discovery and interdisciplinary research, I aim to contribute to the frontier of AI applications in science and societal challenges. In addition to my research, I enjoy collaborating on innovative projects and sharing insights through publications and public engagement.

Outside of my studies, I love to stay active by doing many outdoor activities such as hiking, backpacking rock climbing and cycling.