Enrico Parisini is a Research Fellow in Machine Learning at the Comprehensive Cancer Centre, King’s College London, where he develops machine learning methods for cancer research and clinical decision support. He contributes to the PharosAI project, which brings together institutions to build the UK’s largest federated multimodal biomedical datasets for cancer research. His current work focuses on multimodal and generative modelling of biomedical data, including histopathology, transcriptomics and medical imaging. He also develops transparent AI methods for healthcare applications, with particular interests in concept-based modelling, uncertainty quantification, and robust methods for safe and effective clinical decision-making.

Prior to joining King’s, he was a Research Associate at the Alan Turing Institute within the Turing–Roche Partnership, where he developed clinical AI methods with a focus on interpretable modelling and concept-based approaches.

Before moving into biomedical AI, Enrico completed a PhD in Mathematics at the University of Southampton, working on problems in quantum field theory, general relativity and quantum gravity. This interdisciplinary background continues to shape his approach to machine learning, combining mathematical rigour with a strong focus on clinically relevant and translational applications.