Dr. Richard Naud received his B.Sc. and M.Sc. degrees in Physics from McGill University. During his doctoral studies at EPFL, he designed statistical methods for the automatic characterization of neuronal dynamics. In parallel, he co-organized a Spike-Timing Prediction Challenge for the comparison and benchmarking of mathematical neuron models. After obtaining his Ph. D. in 2011, he developed quasi-renewal theory, which allows to decode neural responses in the presence of adaptation. He then obtained a post-doctoral scholarship of the FRQNT to work with André Longtin, uOttawa, identifying computational roles of active dendrites and inhibition in sensory systems. After, he became a research assistant at the Teschnische Universität in Berlin, where he established computational roles of active dendrites and inhibition in the neocortex. He started at the University of Ottawa in 2016.