• Joining Hectiq.ai team

    I’m glad to announce that I’m joining the team at Hectiq.ai, led by Martin Laprise. Hectiq.ai is a data analysis company specialized in artificial intelligence. Depending on the problem, we, however, explore different approaches, such as Bayesian inference, graph theory, deep learning, just to name a few. For now,...


  • Going to SIAM 18

    From the 8th to the 14th of July, I’ll be attending SIAM18 conference, in Portland (Oregon, USA). My flash talk, entitled A New Dimension-reduction Method for Complex Dynamical Networks will take place on July 12 at 16h50. This work is co-signed by myself and Nicolas Doyon, Louis...


  • Deep learning project

    During the semester of winter 2018, I’ve taken a deep learning course that covers fully connected and convolutional networks, state-of-the-art architectures and regulations mechanisms, recurrent networks, natural language processing, GAN, and miscellaneous topics. For the final assignment, we have chosen to construct our own dataset by scraping Unsplash website and...


  • Release of a fast image converter

    I’ve created a Github repo to host the code for the fast networks generator. It basicaly reads real images (portrait, animal) and converts it to networks. Check out the project page.


  • The Inconceivable Simplicity of Complex Networks

    Each year, the physics department at Université Laval organizes an oral presentation competition for graduate students. The main goal is to present to undergraduate students a broad overview of the research domains in the department. The undergraduate students evaluate the presentations based on the visual aspect, the speaker presence, the...