I'm a cognitive neuroscientist studying the neural architecture and dynamics of human high-level cognition. My main research goal is to parse and characterize the series of processing stages underlying cognitive operations. I'm particularly interested in elementary mathematics.
I use a combination of machine learning applied to time-resolved brain signals (MEG & intracranial EEG), electrical brain stimulation and continuous behavioral measures (trajectory-tracking).
I'm a postdoctoral scholar at Stanford University, working with Josef Parvizi at the Human Intracranial Cognitive Electrophysiology Program. I did my PhD with Stanislas Dehaene at CEA-NeuroSpin, in the outskirts of Paris.