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I am interested in the collection, analysis and visualization of complex, multi-dimensional, multi-scale data.

My work focuses on the acquisition and study of the stereo-electroencephalographic (SEEG) signal in a population of epileptic patients. The objective is to develop innovative solutions to better understand the brain networks at the origin of epilepsy and to facilitate diagnosis. To do so, I use various tools related to signal processing, statistical analysis, artificial intelligence and interactive data visualization. The idea is to probe the brain from a macroscopic to a microscopic scale, from local field potentials to single neurons, in-vivo in humans.

Keywords: Neuroscience, DataVis, Epilepsy, Neuronal Activity, Electroencephalography (EEG), Machine Learning, Deep Learning, Python, Natural intelligence, Artificial intelligence.