Paper 'Is Hyperbolic Space All You Need for Medical Anomaly Detection?' early accepted (Top 9%) at MICCAI 2025; organizing the first Hyperbolic Learning for Medical Imaging (HyperMI) tutorial at MICCAI 2025; successfully defended PhD thesis and awarded Summa Cum Laude; involved in multiple research projects and publications related to medical image processing.
Research Experience
Research intern at Inria and Naver Labs Europe; currently a Post-Doc Researcher at the University Hospital of Basel and HSLU.
Education
Bachelor's degree in Computer Science from the University of Sevilla; Master’s degree in Informatics from Grenoble INP, supervised by Xavier Alameda-Pineda; Ph.D. from the University of Basel, co-supervised by Marc Pouly and Alexander Navarini.
Background
Research interests include generative modeling, hyperbolic geometry, and the robustness of machine learning systems. Focuses on leveraging machine learning techniques in dermatology, with an emphasis on developing accessible methods for learning from noisy and limited data.