Contact
Biography
Dr Chao Li is a Reader in Biomedical Imaging and Artificial Intelligence affiliated with the School of Medicine and the School of Science and Engineering. With extensive experience spanning surgical neurology and neuroimaging research, Dr Li is dedicated to integrating multimodal neuroimaging and multi-omics data to advance precision clinical neuroscience.
Dr Li obtained his PhD at the Department of Clinical Neurosciences and his postdoc training at the Departments of Applied Mathematics and Theoretical Physics University of Cambridge. His earlier career included clinical roles as a neurosurgeon. His contributions to clinical neuroscience have been recognized through awards, such as the British Neuro-oncology Society & Brain Tumour Research Young Investigator Award and the Guarantors of Brain fellowship. He is an active member of the medical imaging computing community and serves as a grant reviewer for UKRI and as an organizer of medical imaging conferences, such as MICCAI and ISBI.
Research
Dr Li’s research is at the intersection of neuroimaging, AI, and clinical neuroscience, with the overarching goal of understanding the brain structure and function for improving diagnosis, treatment, and patient outcomes in brain disorders. His work spans key areas:
- Developing AI-driven tools based on multimodal MRI, genetic, multi-omics, spatial transcriptomics and histopathological data for comprehensive disease characterisation.
- Develop trustworthy AI bridging computational modelling and clinical practice to improve disease management and enhance precision neuro-oncology.
Dr Li secured funding from the NIHR and CRUK. His work has led to high-impact publications in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, Brain, and Nature Machine Intelligence and top computing conferences such as MICCAI.
Supervision
Dr Li has extensive experience in supervision, focusing on the intersection of AI modelling, neuroimaging, and computational neuroscience. He welcomes PhD and MRes applicants interested in AI for neuroscience, medical image computing, computational oncology and neuroscience. Enquiries about potential research projects can be directed to his email.
Teaching
Dr Li mainly teaches modules in medical imaging technology, medical image analysis and image-based diagnosis. His teaching emphasizes interdisciplinary learning, research integration, and the application of AI in biomedical sciences.