Dr Chris McWilliams
BSc, MSc, PhD
Current positions
Research Fellow
School of Engineering Mathematics and Technology
Contact
Press and media
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Projects and supervisions
Research projects
LEAP Flex Fund - Synthetic data generation for privacy-preserving prediction modelling in critical care
Principal Investigator
Managing organisational unit
School of Engineering Mathematics and TechnologyDates
01/12/2024 to 31/03/2026
The ‘symbolic annihilation of women’ in primary school literature.
Principal Investigator
Description
This project examines the prevalence of male and female characters in primary school books.Managing organisational unit
School of Sociology, Politics and International StudiesDates
01/02/2021 to 31/05/2022
Machine learning for intensive care decision support
Principal Investigator
Role
Co-Investigator
Description
Developing bespoke clinical decision support software for intensive care discharge using machine learning.Managing organisational unit
Department of Engineering MathematicsDates
01/10/2018 to 31/12/2019
Thesis supervisions
Designing Software for Clinical Environments
Supervisors
Publications
Recent publications
05/02/2025Capturing Requirements for a Data Annotation Tool for Intensive Care: Experimental User-Centered Design Study
JMIR Human Factors
Comparing conventional and Bayesian workflows for clinical outcome prediction modelling with an exemplar cohort study of severe COVID-19 infection incorporating clinical biomarker test results
BMC Medical Informatics and Decision Making
Evaluation of a Data Annotation Platform for Large, Time-Series Datasets in Intensive Care
Evaluation of a Data Annotation Platform for Large, Time-Series Datasets in Intensive Care
Identification, Explanation and Clinical Evaluation of Hospital Patient Subtypes
Artificial Intelligence for Personalized Medicine
Strategies for engaging clinical participants in the co-design of software for healthcare domains
Thesis
Habitat loss and species interaction
Supervisors
Award date
27/09/2016