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 intracerebral electroencephalographic activities (iEEG, SEEG) in drug-resistant epileptic patients. I seek to develop innovative solutions to better understand epileptic networks and to facilitate their diagnosis. The tools I use are in different fields specific to signal processing, statistical analysis, artificial intelligence or interactive data visualization. The multiscale character of EEG data acquired through hybrid EEG-macro -micro electrodes, in-vivo in humans, gives access to the dynamics of large or isolated neural networks, down to the scale of single neurons.Keywords: Neuroscience, DataVis, Epilepsy, Neuronal Activity, Electroencephalography (EEG), Machine Learning, Deep Learning, Python, Natural intelligence, Artificial intelligence.