معرفی
Ben Glocker is a Professor in Machine Learning for Imaging at Imperial College London's Department of Computing within the Faculty of Engineering. He holds the Kheiron Medical / RAEng Research Chair in Safe Deployment of Medical Imaging AI. His research focuses on advancing AI-driven medical imaging technologies to improve disease detection and diagnosis, emphasizing ethical and reliable deployment. Glocker co-leads the Biomedical Image Analysis Group and leads the HeartFlow-Imperial Research Team, while serving as Knowledge Transfer Lead for the EPSRC Causality in Healthcare AI Hub.
His academic positions include Reader (2019–2022), Senior Lecturer (2017–2019), and Lecturer (2013–2017) at Imperial College London, preceded by postdoctoral research at Microsoft Research (2010–2013). His research spans clinical sciences, artificial intelligence, oncology, and healthcare policy.
Research Interests:
- Safe and ethical AI in medical imaging
- Representation learning and causal inference
- Bias mitigation and fairness in healthcare algorithms
- Semantic imaging for disease detection (e.g., breast cancer, cardiovascular disease)
- AI policy and regulation in healthcare
Grants & Projects:
- Funding for MALIBO, MALIMAR, and Next Generation Machine Intelligence in Medical Imaging
- EPSRC CHAI Hub: Causality in Healthcare AI
- QuantifyTBI: Traumatic Brain Injury lesion quantification
- Collaborations with HeartFlow and Kheiron Medical
Labs/Teams:
- Biomedical Image Analysis Group
- HeartFlow-Imperial Research Team
- CHAI Hub leadership
