Current: Lead NLP Software Engineer at Guy's and St Thomas' NHS Foundation Trust
Leading on and delivering the AI, software engineering and Dev/MLOps components of projects within the trust and across the NHS. Based in the AI Centre for Value-Based Healthcare.
2025 Visiting Lecturer at King's College London
2022 Lecturer (Assistant Professor) in Health Informatics at King's College London
Led funded research projects, developed software, conducted research, and taught as part of a tenured academic position focusing on the use of technology to support medical decision making.
2014 Researcher in Computer Science and Health Informatics at King's College London
Developed software and conducted research for projects focusing on the use of technology to support decision making.
2011 Teacher in Computer Science at King's College London
Taught computer science topics alongside my doctoral studies and research. Regularly presented to classes of 350+ students, and received teaching awards for student engagement and support.
2016 Doctor of Philosophy (Ph.D.) in Computer Science at King's College London.
Thesis: 'Cyber Hide-and-Seek'. Explored strategies for network attackers and defenders by simulating their behaviour within a multi-agent (artificial intelligence), distributed research platform. Supervised by Professor Peter McBurney and Professor Michael Luck.
2011 Bachelor of Science (BSc) in Computing at University of Liverpool.
Honours project: 'Social networking and information diffusion in automated markets'. Explored the impact of social interactions on the performance of market traders by simulating their behaviour within a multi-agent, distributed research platform. Supervised by Professor Peter McBurney and Professor Katie Atkinson.
Using AI to understand how preventative interventions can improve the health of children in the UK and reduce winter pressures on the NHS 2023
HDR UK and the NIHR. GBP 54070.69
Improving the lives of stroke survivors with data 2022-2026
National Institute for Health and Care Research. GBP 2195908.0
REFLECT: Wearable sensors for personalised decision support 2021-2022
EPSRC (Impact Acceleration Award). GBP 55564.64
Generating Computable Phenotype Intersection Metadata Using The Phenoflow Library 2025
AMIA Joint Summits on Translational Science
M Chapman, L Rasmussen, J Pacheco, L Wiley and V Curcin
Long Covid Demographic And Secondary Care Referral Characteristics In Primary Care: Analysis Of Anonymised Primary Care Data From A Multiethnic, Deprived Urban Area In The Uk 2024
npj Primary Care Respiratory Medicine
M Chapman, S Durbaba, F Tydeman, M Friend, L Duly, J Moore, V Curcin, Y Wang, G Kaltsakas, T Chalder, N Hart and M Ashworth
Mechanisms For Integrating Real Data Into Search Game Simulations: An Application To Winter Health Service Pressures And Preventative Policies 2024
AMIA Joint Summits on Translational Science
M Chapman, A G-Medhin, K Daneshi, T Bramwell, S Durbaba, V Curcin, D Parmar, H Boulding, L Becares, C Morgan, M Molokhia, P McBurney, S Harding, I Wolfe, M Ashworth and L Poston
Ink: Non-Repudiation For Large Language Models (LLMs) In Healthcare 2024
AMIA Joint Summits on Translational Science
M Chapman, E Fairweather and C Hampson
Using Version Control Systems To Support High-Quality Phenotype Definitions 2023
AMIA Joint Summits on Translational Science
M Chapman, L V Rasmussen, J A Pacheco and V Curcin
Connecting Computable Phenotypes With Multiple Health It Standards Using The Phenoflow Library 2022
AMIA Clinical Informatics Conference
M Chapman, L V Rasmussen, J A Pacheco and V Curcin
Using Microservices To Design Patient-Facing Research Software 2022
Proceedings of the IEEE 18th International Conference on e-Science
M Chapman, A G-Medhin, I Sassoon, N Kökciyan, E I Sklar and V Curcin
Phenoflow: A Microservice Architecture For Portable Workflow-Based Phenotype Definitions 2021
AMIA Joint Summits on Translational Science
M Chapman, L Rasmussen, J Pacheco and V Curcin
Covid-19 Analytics In Jupyter: Intuitive Provenance Integration Using Provit 2021
9th International Provenance and Annotation Workshop
M Chapman, E Fairweather and V Curcin
Using Computable Phenotypes In Point-Of-Care Clinical Trial Recruitment 2021
Digital Personalized Health and Medicine
M Chapman, J Domínguez, E Fairweather, B C Delaney and V Curcin
Desiderata For The Development Of Next-Generation Phenotype Libraries 2021
GigaScience
M Chapman, S Mumtaz, L Rasmussen, A Karwath, G V Gkoutos, D Thayer, J Pacheco, R Richesson, E Jefferson, S Denaxas and V Curcin
Computational Argumentation-Based Clinical Decision Support 2019
18th International Conference on Autonomous Agents and MultiAgent Systems
M Chapman, P Balatsoukas, M Ashworth, V Curcin, N Kökciyan, K Essers, I Sassoon, S Modgil, S Parsons and E I Sklar
A Microservice Architecture For The Design Of Computer-Interpretable Guideline Processing Tools 2019
18th International Conference on Smart Technologies
M Chapman and V Curcin
Learning The Language Of Error 2015
13th International Conference on Automated Technology for Verification and Analysis
M Chapman, H Chockler, P Kesseli, D Kroening, O Strichman and M Tautschnig
Playing Hide-And-Seek: An Abstract Game For Cyber Security 2014
1st International Workshop on Agents and CyberSecurity
M Chapman, G Tyson, P McBurney, M Luck and S Parsons
Social Networking And Information Diffusion In Automated Markets 2012
Joint International Workshop on Trading Agent Design and Analysis
M Chapman, G Tyson, K Atkinson, M Luck and P McBurney