Blog Post number 2
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Short description of portfolio item number 1
Short description of portfolio item number 2
Published in Royal Society open science, 2020
We assessed the passage efficiency of eel passes using de novo cellular automata and individual-based. We quantified the relationship between passage efficiency (proportion of passage attempts that are successful), flow rate, and passage inclination; highlighting the need for shallower inclinations to facilitate the passage of younger eels.
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Published in WhiteRose eTheses Online, 2021
My PhD thesis was on the development of cellular automata and agent-based models to assess fish passage using computational fluid dynamics.
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Published in Infectious Diseases and Therapy, 2024
We adapted an age-, immunity- and risk-stratified SEIR model to assess the impact of booster vaccination on COVID-19-induced hospitalisations, mortality, bed days, and productivity.
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Published in International Journal of Antimicrobial Agents, 2025
We described the burden of antimicrobial resistance to healthcare systems based on a retrospective cohort study using UK healthcare data from the Clinical Practice Research Datalink.
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Published in BMJ, 2025
This is an opinion piece for the BMJ relating to the use of AI within the UK government’s 10 year plan for the NHS.
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This work aligns with our paper on assessing the impact of Covid boosters, which can be found here.
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This study estimated the system-level impact of adopting a holistic approach to T2D management in-line with contemporary international guidelines.
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This study evaluates the population-level effects of excess body weight on US healthcare expenditure via quantification of health economic aging across the population.
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This study estimates the economic value of attenuating the rate of decline of eGFR to limit DKD progression.
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This study estimates the population-level burden of adult obesity in the US. We quantified the value of early vs. late intervention in obesity from a total system perspective, exploring effects on a variety of outcomes.
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This study estimates the population-level prevalence of seven interrelated diseases within the US, describes the substantial overlap between these diseases, and quantifies the prevalence of multi-comorbid patients.
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This study outlines the potential usage of neural-network-based metamodels within health economics.
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We predicted the future prevalence of CKD in Wales, with a focus on ESKD and its treatment modalities.
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We demonstrate how the UK has aged and how it will continue to age, and predict how this ageing will affect demand for healthcare.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.