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. With a recent completion of his Master's degree, Daniele is dedicated to pursuing his Ph.D. and making meaningful contributions to the scientific community.
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. He demonstrated exceptional academic performance, consistently earning top grades throughout his program. Daniele's Master's thesis, done in collaboration with SAP Labs France, focused on analyzing advanced code representation with Machine Learning to spot code vulnerabilities in commits.
Daniele's 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. By investigating the intricate world of brain-vessel segmentations, Daniele aspires to provide valuable insights into the development of novel deep learning models and algorithms.
Daniele's ultimate goal is to bridge the gap between basic research and clinical applications, translating scientific discoveries into practical solutions that improve human health.
With a strong academic background, a passion for scientific exploration, and a drive to make a difference in the field of medical image segmentation, Daniele Falcetta is a dedicated Ph.D. candidate committed to advancing our understanding of Machine Learning in the medical field. For more information on his research and professional journey, please visit his LinkedIn profile at https://www.linkedin.com/in/danielefalcetta/ or contact him at daniele.falcetta@eurecom.fr
