• New paper in PRX

    Our new paper proposes a formalism to reduce large systems of differential equations coupled by a certain graph structure. We exposed how the spectral properties of the graph can be leveraged to obtain a valid effective low-dimensional representation. Our work leads to a highly interpretable analysis of resilience of complex...


  • Workshop in Charlevoix

    How can we detect an attack on a complex system by measuring the activity of its components? That is the question, but not exclusively, we have tried to answer at the Dynamica Workshop in Charlevoix. The activity consists in renting a nice remote workspace and intensively work for a week...


  • 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...