William Cappelletti

William Cappelletti is a doctoral student in the Doctoral Program in Computer and Communication Sciences at the Swiss Federal Institute of Technology Lausanne (EPFL), affiliated with the Signal Processing Laboratory 4 (LTS4). He holds the role of Doctoral Assistant, contributing to research in signal processing and biomedical applications. His academic affiliation includes membership in the School of Engineering and the Department of Computer and Communication Sciences. William is also a Committee Member of AGEPoly - Club Montagne, indicating his engagement with student activities and academic communities.

His research focuses on advanced signal processing techniques, machine learning applications in healthcare, and biomedical engineering. Key areas include graph-based models for functional network analysis, self-supervised learning for seizure detection, and open-source frameworks for EEG analysis. He has contributed to projects like the SzCORE framework for seizure detection validation and the DiffuserCam system for novel imaging techniques. His work bridges theoretical advancements in signal processing with practical applications in neuroscience and clinical settings.

No scientific awards or grants are explicitly mentioned in the provided texts. His advising responsibilities are unspecified, though his doctoral assistant role suggests involvement in lab projects. William’s involvement with the Signal Processing Laboratory 4 underscores his participation in collaborative research environments focused on cutting-edge signal analysis and machine learning methodologies.