Dr Martin Chapman is a Lecturer in Health Informatics at King's College London. His research broadly focuses on decision support, primarily in healthcare but also in other domains. This includes the use of AI to simulate human behaviour and evaluate public health interventions; formalising patient cohort definitions as computable, multi-platform phenotypes to aid disease identification; and data integration for clinical decision support systems, all to guide decision-making.

Martin has a background in informatics, and holds a Ph.D. on the topics of artificial intelligence (multi-agent simulation) and network security. Following his Ph.D. studies he lectured for several years in the Department of Informatics at King's, where he received a Teaching Excellence Award (King's Education Award) for his work teaching programming and qualified as a Fellow of the Higher Education Academy. He is currently an Academic Co-Lead for the Principles of Health Informatics module on the Masters of Public Health Programme.

His work to date has included the development of new models and tooling for computable phenotype definitions while working as a part of HDR UK's National Phenomics Resource team to construct the UK's first national phenotype repository, the application of distributed ledger technologies to provenance and integrating sensor data into distributed architectures to enable personalised decision support as a part of the EPSRC CONSULT project, and exploring how finite automata can be used to abstractly represent software error traces as a part of Google's 'Facilitating Code Merging with User-Defined Abstractions' project.