Developed CAFEIN, a federated learning platform designed for accessible, flexible, scalable, and privacy-preserving workflows.
Research Experience
Driving innovation in healthcare, industrial maintenance, and international collaborations; born at CERN to meet the data challenges of particle physics and accelerator science.
Background
Focused on developing and deploying advanced learning methods for graphs and networks, including federated learning and graph neural networks.
Miscellany
Committed to trust, transparency, sustainability, and societal benefit.