Dept. of Mathematics and Statistics
Université de Montréal
I am an applied mathematician working in the field of theoretical neuroscience with an outlook towards neuroengineering and machine learning applications. My research interests are motivated by the remarkable ability of neural networks (biological and artificial) to learn and support complex, emergent computations. Throughout my work, I use tools from dynamical systems, information theory, statistics and machine learning to adress a range of problems, in collaboration with experimental neuroscientists and machine intelligence researchers.