I am a Ph.D. student at Polytechnique Montréal, working within the BayesWorks and LITIV (Computer Vision) research groups. My primary research focuses on Diffusion Models integrated with Bayesian Neural Networks, combining probabilistic inference and deep learning to advance uncertainty quantification and generative modeling.

Beyond my academic work, I am deeply passionate about generative AI, computer vision, and robotics. I am constantly exploring how these fields can intersect to drive innovation in machine learning and its real-world applications.

In my free time, I enjoy diving into the world of science fiction, which fuels my imagination and inspires me to think about the future of technology.