Stanislas Chambon

Stanislas Chambon is currently the Chief Science Officer at Reliev, where they pursue their passion for machine learning and deep learning across various prediction tasks and modalities. Stanislas has previously held positions as a Research Scientist at Therapixel and a Visiting Student Researcher at Stanford University, studying micro-events in EEG recordings. They completed a PhD in machine learning at Université Paris-Saclay, focusing on deep learning and transfer learning with EEG data. Their academic foundation includes degrees in both machine learning and applied mathematics from École Polytechnique, as well as extensive research experience in developing innovative methodologies within the field.