Giacomo Tarroni

Dr. Giacomo Tarroni serves as an Honorary Research Fellow within the Department of Computing at the Faculty of Engineering, Imperial College London. His academic appointment positions him at the intersection of computer science, biomedical engineering, and clinical medicine, where he develops artificial intelligence solutions for critical healthcare challenges including cardiac imaging analysis and tumor segmentation through decentralized learning frameworks.

His research portfolio spans multiple interdisciplinary domains:

• Medical Image Segmentation and Landmark Detection in cardiac CT/MRI
• Federated Learning for Privacy-Preserving Healthcare AI
• Unsupervised Anomaly Detection using Diffusion Models and Generative Techniques
• Cardiovascular Image Analysis and Disease Modeling
• Robust AI Algorithms for Heterogeneous Medical Data
• Synthetic Data Generation for Medical Imaging Challenges

Dr. Tarroni's recent publications (2023-2025) reveal a strategic focus on solving real-world clinical problems through AI innovation. His leadership in the Federated Tumor Segmentation (FeTS) challenge demonstrates expertise in creating decentralized benchmarking systems for healthcare algorithms, while his work on diffusion-based anomaly detection (e.g., Disyre, Ensembled cold-diffusion) addresses the critical need for unsupervised methods in medical imaging. The consistent emphasis on data heterogeneity solutions and synthetic anomaly generation across his publications indicates a cohesive research trajectory aimed at making medical AI more deployable in diverse clinical settings.