I am a research associate in computational neuroscience at University College London in the Cortical Processing Laboratory, led by Kenneth Harris and Matteo Carandini. I am developing mathematical tools and software for analyzing extracellular recordings from high-density multi-electrode probes.


I hold a Ph.D. in computational neuroscience, obtained under the supervision of Romain Brette in the École Normale Supérieure (ENS), Paris. I worked on the computational role of correlations in neural coding and in intracellular data analysis. Previously, I graduated from the Mathematics and Computer Science departments of the ENS, and I made research internships at Princeton University and Collège de France.


I’m interested in spike-based computation, temporal coding, neuronal correlations and synchronization, coincidence detection, analysis of intracellular and extracellular electrophysiological recordings. I use mathematical tools (dynamical systems, probability theory and stochastic processes, statistics and machine learning) and computational tools (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.

I’ve created a high-performance visualization package in Python named Galry, and a graphical software for the manual stage of spike sorting, adapted to recordings with large multi-electrode arrays, named KlustaViewa. I’m now involved in the successor of Galry, Vispy, in collaboration with other developers of visualization toolkits. More details are available on the Research page.

Main publications