!!!NEWS!!!
Pleased to announce a NeurIPS 2019 workshop !
   Real Neurons & Hidden Units: Future directions at the intersection of neuroscience and artificial intelligence

portrait ● Assistant Professor
   UdeM Mathematics and Statistics

● Associate Member
   Mila: Quebec Institute for Learning Algorithms

● Accredited Professor
   UdeM Neuroscience
   UdeM Computer Science and Operational Research

● Research Scholar
   Fonds de recherche du Québec Santé


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.

Version française en construction !