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I am Professor in Machine Learning for Imaging and Kheiron Medical / RAEng Research Chair in Safe Deployment of Medical Imaging AI. I am co-leading the Biomedical Image Analysis Group, lead the Heartflow-Imperial Research Team and I am the Knowledge Transfer Lead of CHAI – The EPSRC Causality in Healthcare AI Hub.

My research is at the intersection of medical imaging and artificial intelligence aiming to build safe and ethical computational tools for improving image-based detection and diagnosis of disease.

^{Research article – Knolle et al. (2026) Nature}
Disparate privacy risks from medical AI

^{Talk at RCR-NHS Global AI Conference 2025}
Safe deployment of medical imaging AI

^{Opinion piece}
In AI development, equality starts with a mandate for fairness and inclusivity

^{Perspective – Jones et al. (2024) Nature Machine Intelligence}
A causal perspective on dataset bias in machine learning for medical imaging

^{Research article – Glocker et al. (2023) Radiology: AI}
Risk of Bias in Chest Radiography Deep Learning Foundation Models

^{Perspective – Castro et al. (2020) Nature Communications}
Causality Matters in Medical Imaging