Giacomo Tarroni

Dr. Giacomo Tarroni is a Lecturer in Artificial Intelligence at City St George's, University of London, where he is a member of the CitAI Research Centre within the Department of Computer Science. He has previously held research positions at Imperial College London (as a Research Fellow and Marie Skłodowska-Curie Fellow), University of Padova, and University of Bologna.

His educational background includes a PhD in Medical Image Analysis from the University of Bologna (2009-2012), an M.S. in Electronic Engineering from the University of Bologna (2005-2008), and a B.S. in Electronic Engineering from the University of Bologna (2002-2005). During his PhD, he collaborated with the University of Chicago.

Dr. Tarroni's research focuses on medical image analysis, with particular emphasis on unsupervised anomaly detection, self-supervised image classification/segmentation, and federated learning for medical applications. His work spans cardiovascular, brain, and fetal imaging, with significant contributions in cardiac MRI analysis. His research bridges computer vision and healthcare, developing AI solutions that address practical clinical challenges while respecting data privacy constraints through techniques like federated learning.

His publication record demonstrates consistent high-impact contributions to medical imaging conferences (MICCAI, ISBI) and journals (IEEE Transactions on Medical Imaging, Medical Image Analysis). Recent work shows increasing focus on foundational AI techniques like diffusion models and self-supervised learning applied to medical imaging challenges.

• Fellow of Advance Higher Education (HEA), 2021
• Marie Skłodowska-Curie Fellowship from the European Commission for the JUNO project (Principal Investigator)
• Board member of the UK Chapter of Marie Curie Alumni Association (MCAA-UK) since 2018
• Associate Editor for IEEE ISBI 2019 conference

Dr. Tarroni has secured significant research funding, generating over 183k€ through his Marie Skłodowska-Curie Fellowship. He has collaborated with major medical image analysis projects including SmartHeart (EPSRC, 5M£), iFind (Wellcome Trust and EPSRC, 10M£), and CHIRON (EU Artemis-JU, 18M€). As an active reviewer, he contributes to leading journals including IEEE Transactions on Medical Imaging and Medical Image Analysis, as well as top conferences like MICCAI and IEEE ISBI. His laboratory work centers around developing robust AI methods for medical imaging that can operate effectively with limited or distributed data sources.