“Daniele Falcetta is a Ph.D. candidate at the Data Science department at EURECOM - Sophia Antipolis, with a strong passion for advancing scientific knowledge and contributing to the field of Machine Learning for Medical Imaging through cutting-edge research. After a Bachelor’s Degree in Biomedical Engineering at Politecnico di Torino (Italy) in 2017, Daniele completed in 2023 his Master’s Double Degree in Data Science and Engineering (Computer Engineering) at Politecnico di Torino and EURECOM Institute (France), where he graduated with distinction. His research interests lie in the intersection of data science and biomedical engineering, with a specific focus on advanced machine learning techniques for 3D cerebrovascular image segmentation. His Ph.D. research, conducted under the supervision of EURECOM Professor Maria A. Zuluaga, aims to develop new algorithms of Active and Federated Learning in order to help medical doctors in segmentation of medical images.”
