Alvaro Gonzalez-Jimenez is a Postdoctoral researcher at the University Hospital of Basel and the Lucerne University of Applied Sciences and Arts, focusing on machine learning for dermatology, particularly in learning from limited and noisy data. His research explores geometric representations to reduce bias and enhance model robustness. Alvaro has previously worked at INRIA and NAVER LABS Europe, received the Best Paper Award at MICCAI 2023, and regularly publishes at top medical imaging (e.g., MICCAI) and top machine learning conferences (e.g., NeurIPS, CVPR, ECCV). He aims to create AI solutions that benefit diverse healthcare settings.