Rania Talbi

Rania Talbi is a Data Scientist and Data Engineer with experience in analyzing MEA Electrophysiology recordings, designing cloud-based data architectures, and classifying emails and attachments. As a former PHD student, Rania conducted research on poisoning attacks in federated learning ecosystems and implemented Privacy Preserving Machine Learning frameworks. With a background in Computer Science, Rania also worked on geolocated data re-identification attacks and software development for managing action plans.