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Chris is a Cancer Research UK funded Senior Research Fellow leading the Clinical AI theme at the Comprehensive Cancer Centre. He is an NHS histopathologist and has held various key positions at King's College London and the Alan Turing Institute. Chris completed his PhD in Computational Cell Biology at University College London after studying Mathematics at Oxford. His academic focus lies in bridging mathematical methods with biomedical data analysis, particularly in the realm of clinical AI applications. His work includes study of pathological heterogeneity, biomarker discovery, and cancer prognosis, where he has received international recognition, including the Muscular Dystrophy UK President’s Award for Early Career Researcher. His current research emphasizes the fusion of multimodal data, personalized uncertainty quantification, and transparent deep learning in clinical settings. Chris has published extensively on diverse topics including stochastic modeling of gene expression, dynamical systems, single cell RNA sequencing, and classification of heterogeneous pathologies. He is keen on fostering collaborations in these research areas.
King's College London • London, UK
Leading Clinical AI research initiatives within the Comprehensive Cancer Centre.
Requirements are consistent across King's Business School and Social Science & Public Policy departments for standard Master's entries.