My research focuses on developing theories and mathematical models of motor control and learning, with both neurophysiological and computational perspectives. This is a multidisciplinary topic mixing various disciplines such as neuroscience, biomechanics, robotics and applied mathematics.
Typical computational tools associated with my research are stochastic or deterministic optimal control, numerical optimization and machine learning methods (e.g. dimensionality reduction techniques...). Typical experimental tools are motion capture devices, force platforms, electromyograms (EMG devices), eye-tracking systems etc.
Potential applications of this research lie in all the fields concerned with biological movement such as humanoid robotics (e.g., create artificial systems equipped with motor and decisional human-like capacities), brain/body-machine interfaces (e.g., neuroprosthetics), neuro-rehabilitation (e.g., help patients recovering lost sensorimotor functions for instance using exoskeletons), character animation (e.g., animation of virtual signers in sign laguange movements) or sport sciences (e.g., optimization of performance in high-skill tasks).
Member of the "Institut Universitaire de France" (IUF).
Assistant Professor at Univ. Paris-Sud, Université Paris-Saclay (CIAMS laboratory), Orsay, France.
Postdoctoral researcher at the Istituto Italiano di Tecnologia, Genova, Italia, Department of Robotics, Brain and Cognitive Sciences.
Collaboration with Dr. Francesco Nori & Prof. Stefano Panzeri
PhD thesis in mathematics and computational neurosciences, at Univ. Bourgogne, Dijon, France, in INSERM U1093 Cognition, Action, and Sensorimotor Plasticity laboratory,
under the supervision of Prof. Jean-Paul Gauthier and Prof. Thierry Pozzo