I obtained a Master Degree in space engineering from the ISAE-Supaéro (Toulouse, France, with a double diploma with HEC Paris) and a Master Degree in neuroscience from the ENS Ulm (Paris, France). I did my masters' projects at the French space agency (CNES) and at the Center for Neuroprosthetic of the EPFL (Lausanne, Switzerland). After a 2-year hiatus in the industry (working as a development engineer at Airbus Defence and Space), I obtained a PhD insigni cum laude in theoretical neuroscience under the supervision of Prof. Jean-Pascal Pfister at the University of Bern (Switzerland). I have been awarded a Postdoc Mobility grant from the Swiss National Science Foundation to continue my research at the RNEL.
Research Interest Summary
Brain-Computer Interfaces, Neuro-prosthetics, Motor control, Bayesian inference, Population dynamics, Dimensionality, Non-linear Filtering
Research Interests
Recording instabilities and lack of robustness are a major impediment to the widespread clinical acceptance of BCIs. Especially, it has been shown that the activity of the motor cortex is highly variable and context-dependent, and is modulated by the nature of the task, the environment, or the mental state of the patient. The mapping between recorded cortical activity and motor output is thus non-stationary, which is a major obstacle to robust decoding. The overall goal of my research project is to determine the sources of the variability underlying this non-stationarity, and to leverage them to design new BCIs algorithm sufficiently robust to be used by patients in their daily-life activities.