France
I have a multi-purpose engineering background (Electrical Eng. at Ecole polytechnique then Biomedical Eng. at EPFL). I conducted a PhD project in Neuroscience, contributing to a novel methodological framework for the study of the brain with paradigms closer to daily-life conditions. Passionate about the study and the care of the human brain, I joined the Research department of Capgemini Engineering to lead a medical device project for the rehabilitation of post-stroke symptoms. I seek to apply my transversal skills in software development, data science and project management to healthcare projects, to bring high impact innovation to the clinical field.
Scientific project leader for B-Reality: a BCI-VR medical solution to enhance cognitive recovery for stroke survivors. Development of a BCI prototype, combining VR-EEG hardware integration, VR software development (Unity, C#) and real-time EEG signal classification using machine learning models (CCA, EEGNet | Python). Project team management, coordinating with external partners. Technical supervision of thesis student contributing to the project.
Study of the link between vision and navigation in the context of healthy aging. Design and analysis of EEG experiments under ecological conditions with human volunteers (young and old). Simultaneous acquisition of multimodal data (EEG, virtual reality, eye-tracking, motion capture). Evaluation of visual restoration by EEG in collaboration with the PIONEER clinical study. EEG signal processing and integration with anatomical and functional MRI data for source reconstruction purposes. Additional activities during the doctorate: Supervision of several Master students' internships. Teaching electronics tutorials and practical work to students of the "licence E3A" from the faculty of Engineering of Sorbonne Université. Participation to scientific vulgarization events ("Fête de la Science", "Semaine du Cerveau", WebTV). Participation in workshops aiming at the valorization of EEG research methods for patent registration with the R\&D department of EssilorLuxottica.
Working in the Action & Vision in Aging team, I was involved in a research project investigating the role of micro-saccades in compensating natural vision decline in aging. My main task was building computational models (convolutional neural networks modelling the retina) testing different theoretical hypotheses.
Licence E3A, UFR d’Ingénierie, Sorbonne Université Teaching exercises and practical work sessions to students in 'Techniques et dispositifs pour l'électronique analogique et numérique' (Bachelor 3) and 'Fondements de l’Électronique' (Bachelor 1).
Mobile Brain Imaging of Spatial Navigation: Proof of concept for combination of virtual reality and high-density EEG recordings