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I am currently a third-year PhD student in computational neuroscience under the supervision of Romain Brette, in the Audition team at the École Normale Supérieure de la rue d’Ulm, Paris. I was previously a student at the Ecole Normale Supérieure in the Mathematics and Computer Science departments.

Research

I’m interested in spike-based computation, temporal coding, neuronal correlations and synchronization, and in vitro electrophysiological recordings. I use mathematical tools such as dynamical systems, probability theory and stochastic processes, and computational tools such as spiking neural network simulations, numerical optimization, parallel/distributed computing and general-purpose computing on graphics processing units (GPGPU). I’ve worked on coincidence detection in noisy neurons and in electrode compensation techniques for current clamp in-vitro recordings. I’ve also developed a model fitting toolbox for spiking neuron models with both CPU and GPU implementations, which is now integrated in the neural simulator Brian. The toolbox is based on Playdoh, a Python library for parallel and distributed scientific computing that I’ve created with Bertrand Fontaine and Dan Goodman. More details are available on the Research page.

Main publications

Teaching

I’m an assistant teacher (moniteur) at Université Paris VI – Pierre et Marie Curie and the Ecole Normale Supérieure in Mathematics and Computer Science at Bachelor (licence) and Master levels. More details are available on the Teaching page.