Diogo Moreira, is a Master's student at Instituto Superior Técnico, University of Lisbon, and has been affiliated with the Champalimaud Foundation since February 2025. His thesis focuses on improving the generalizability of deep learning models through invariance-based approaches.

The project aims to develop a data-driven strategy to enhance the robustness of medical imaging models against variability introduced by different imaging acquisition protocols and scanner manufacturers, ultimately supporting the broader and more practical application of AI in clinical settings.