David Trocellier

David Trocellier is a Scientifique en recherche et développement at Zander Labs, specializing in neuroadaptive technologies that enhance machine interpretation of human mental states. Prior experience includes a role as an Enseignant at Université de Bordeaux, focusing on programming, ethics, and perception-action courses. David Trocellier also completed a PhD in Computer Science at Inria, where research centered on adaptive post-stroke rehabilitation using brain-computer interfaces. An internship at Nanyang Technological University involved exploring deep learning for motor imagery classification. Previous positions include research assistant roles at CNRS and Inria, where work focused on neurofeedback training and mental state classification using machine learning. David Trocellier holds a Master's in biomedical engineering from ESPCI Paris and a Master's in biomathematical modeling from Sorbonne University.