Lecturer at King's College London
Examining electronic health record-based digital health interventions, including personalised decision support, and the impact of formalising patient cohort definitions as computable, multi-platform phenotypes.
2019 Research Associate/Fellow at King's College London
Involved in developing models and tooling for computable phenotype definitions, funded by HDR UK and the GSTT BRC.
2017 Research Associate at King's College London
Involved in the development of a proof of concept collaborative mobile decision-support system to help patients suffering from chronic diseases to self-manage their treatment, under the project 'collaborative mobile decision support for managing multiple morbidities (CONSULT)', funded by the EPSRC. Focus included consumer sensor integration, electronic health record standardisation, formal clinical guideline representation and reasoning, and the application of distributed ledger technologies to provenance.
2015 Teaching Fellow at King's College London
Assigned as a lecturer to the department's programming modules, working with over 350 students per cohort. Focussed on innovative teaching practices, including automated assessment, practical higher education teaching (including the establishment of a new practical programming module) and student-lead teaching and learning, particularly in relation to the teaching of programming. Additional roles included deputy exam board chair, deputy senior tutor and disability support tutor. Qualified as a Fellow of the Higher Education Academy and awarded King's College London's prestigious Teaching Excellence Award.
2014 Research Assistant at King's College London
Involved in the development of a tool that abstractly represents software error traces as finite automata, under the project `Facilitating Code Merging with User-Defined Abstractions’, funded by Google. Focussed on the development of a module to estimate model-checking bounds, and the merge feature described in the project title.
2011 Graduate Teaching Assistant at King's College London
Delivered seminars and practical sessions in programming practice, applications and data structures, computer systems and artificial intelligence. Responsible for coordinating the other teaching assistants assigned to these topics. Atypically for this position, delivered lectures in programming practice. Twice awarded the department's Outstanding Teaching Assistant award.
2016 Doctor of Philosophy (Ph.D.) in Computer Science at King's College London.
2011 Bachelor of Science (BSc) in Computing at University of Liverpool.
Connecting Computable Phenotypes with Multiple Health It Standards Using the Phenoflow Library 2022
M Chapman, L Rasmussen, J Pacheco and V Curcin
Using Computable Phenotypes in Point-of-Care Clinical Trial Recruitment 2021
M Chapman, J Domínguez, E Fairweather, B C Delaney and V Curcin
Phenoflow: a Microservice Architecture for Portable Workflow-Based Phenotype Definitions 2021
M Chapman, L V Rasmussen, J A Pacheco and V Curcin
Desiderata for the Development of Next-Generation Electronic Health Record Phenotype Libraries 2021
M Chapman, S Mumtaz, L V Rasmussen, A Karwath, G V Gkoutos, C Gao, D Thayer, J A Pacheco, H Parkinson, R L Richesson, E Jefferson, S Denaxas and V Curcin
Covid-19 Analytics in Jupyter: Intuitive Provenance Integration Using Provit 2020
M Chapman, E Fairweather, A Khan and V Curcin
Computational Argumentation-Based Clinical Decision Support 2019
M Chapman, P Balatsoukas, N Kökciyan, K Essers, I Sassoon, M Ashworth, V Curcin, S Modgil, S Parsons and E I Sklar
A Microservice Architecture for the Design of Computer-Interpretable Guideline Processing Tools 2019
M Chapman and V Curcin
Learning the Language of Error 2015
M Chapman, H Chockler, P Kesseli, D Kroening, O Strichman and M Tautschnig
Playing Hide-and-Seek an Abstract Game for Cyber Security 2014
M Chapman, G Tyson, P McBurney, M Luck and S Parsons
Social Networking and Information Diffusion in Automated Markets 2012
M Chapman, G Tyson, K Atkinson, M Luck and P McBurney
REFLECT: Wearable sensors for personalised decision support 2021-2022
EPSRC (Impact Acceleration Award) GBP 55564.64