Mike Mamalakis

Mike Mamalakis is a Senior Research Associate at the University of Cambridge, affiliated with the School of Clinical Medicine and Department of Computer Science and Technology. His research focuses on applied and theoretical AI, particularly in Deep Learning, Multi-Modal AI, and eXplainable AI for biomedical and healthcare applications.

• Research Themes: Medical imaging, neuroscience, brain tumors, Alzheimer's disease, and foundation models.
• Collaborations: University of Sheffield (Richard Clayton, Andriew Shift, George Panoutsos), University of Cambridge (Pietro Lio, Murray Graham, John Suckling), and Cancer Research UK Cambridge Centre.

His recent work involves developing predictive models for neuroscience using multimodal data (text, imaging, phenotyping, genomics) and applying gradient-based explainability methods to study brain tumors. Publications highlight AI-driven biomarker discovery in COVID-19, pulmonary hypertension, and cardiac arrhythmias. Current affiliations include the School of Clinical Medicine and CRUK Cambridge Centre.

Contact: mm2703@cam.ac.uk | Room GC01, William Gates Building, University of Cambridge.