Dr Martin Chapman, Research Associate, King's College London:

Dr. Martin Chapman

Research Associate at King's College London.

Involved in developing models and tooling for computable phenotype definitions, funded by HDR UK and the GSTT BRC.

Selected publications

Desiderata for the Development of Next-Generation 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

Using Computable Phenotypes in Point-of-Care Clinical Trial Recruitment 2021
M Chapman, J Domínguez, E Fairweather, B C Delaney and V Curcin

Covid-19 Analytics in Jupyter: Intuitive Provenance Integration Using Provit 2021
M Chapman, E Fairweather, A Khan and V Curcin

Phenoflow: a Microservice Architecture for Portable Workflow-Based Phenotype Definitions 2020
M Chapman, L V Rasmussen, J A Pacheco 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

Cyber hide-and-seek 2016
M D Chapman

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

Software

nr Store data using different non-repudiation mechanisms.
phenoflow Portable, workflow-based phenotype definitions.
withings Middleware for interacting with Withings Nokia Health devices.
jupyter JupyterHub Docker configuration 🐋
tmrweb Store clinical guidelines and determine their interactions.
ehr-fhir-converter Convert arbitrary EHR extracts to FHIR.
ohdsi OHDSI stack Docker configuration 🐋
learning-errors Abstractly represent software error traces as finite automata.
hands A plugin for the JGraphT library facilitating the running of Search Game Hide-and-Seek simulations.
drg Infrastructure for running a distributed HANDS research game.
social-traders A plugin for the multi-market simulator JCAT, enabling social interaction between autonomous traders.

Previous positions

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 King's two-semester, first-year programming course, working with over 350 students per cohort. Focussed on innovative teaching practices, including automated assessment, practical higher education teaching and student-lead teaching and learning, particularly in relation to the teaching of programming. Additional roles included deputy exam board chair, deputy senior tutor, disability support tutor and head of technology-enhanced learning. 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.

Qualifications

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.

Awards

2017 Teaching Excellence Award King's College London

In 2017 I was awarded King's College London's prestigious Teaching Excellence Award for my work teaching programming to undergraduate students. I was previously nominated for the award in 2012, 2013 and 2016. In 2017, nearly 2,500 students voted in the awards, and winners were chosen from across King's 6,800 staff. The award highlighted my contributions to high-quality student feedback, and came with a number of positive comments from students.

Teaching software

coursework-generator Framework to generate unique coursework assignments.
ppa-client A small client-side API designed to enable the acquisition of assignment data.
document-marker A simple program to facilitate the visual marking of assignments.
ppa-server Serve data to students for use in student projects.

Teaching talks

Programming at King's King's College London.
Using screencasts to teach undergraduate programming King's Learning Institute, King's College London

Lectures

Programming in Java: Arrays and Array Lists
Programming in Java: Recursion
Programming in Java: Object and Classes
Programming in Java: Why Object-Orientation?
Programming in Java: Introduction
Programming in Java: Storing Data
Programming in Java: Getting Started
Programming in Java: Organising Your Code
Programming in Java: Combining Objects
Programming in Java: Control Flow
Programming in Java: Library Classes
Programming in Java: Arrays
An Introduction to Programming in Java: Arrays

Online Tutorials

Assignments

pra-minor-coursework-2016: Programming exercises, 2016.
pra-code-dojos-2016: Group programming tasks, 2016.
prp-exercises: Programming exercises, 2011 onwards. Many in draft form.
pra-major-coursework-2016: Programming project, 2016.
ppa-minor-coursework-2016: Programming exercises, 2016.
prp-minor-coursework-2015: Programming exercises, 2015.
ppa-major-coursework-2017: Programming project, 2017.

Procrastinations

coincoin: Illustrative cryptocurrency client and middleware.
not-so-naivecoin: Adding Bitcoin-like features to Naivecoin.
world-cup-sweep: Office world cup sweep stake calculator.
google-scholar-extended: nodejs module for listing profile information

Languages

JavaScript
Java
Python