I am a mathematical modeller and data scientist interested in using data-driven approaches to develop models to help understand the world. I studied Mathematics at the University of Durham, completing an MMath degree in 2014. I then completed a Masters in Advanced Mathematical Biology at the University of York. As part of my thesis project, I spent a summer at the University of Glasgow, studying the patterns of drug resistance in E-coli. across various species in Tanzania. I am currently completing a PhD in social medicine at the University of Bristol, studying the deployment of the BCG vaccine in the UK. Previously, I worked as a data scientist at Funding Circle developing predictive models and conducting ad hoc analysis.
PhD in Social Medicine, 2019
University of Bristol
Msc in Advanced Mathematical Biology, 2015
University of York
MMath in Mathematics, 2014
University of Durham
Bacillus Calmette–Guérin (BCG) remains the only licensed vaccine against Tuberculosis (TB). In 2005, England changed from universal vaccination of school-age children to targeted vaccination of high-risk neonates. Little work has been done to assess the impact of this policy change. This thesis evaluates the impact of this change.
This shiny app has been developed to allow the exploration of the parameter space of compartmental infectious disease models. It is designed to be used as a teaching aid when introducing people to the concepts behind infectious disease models without requiring them to interact with the underlying code.
Quickly and easily import analysis ready Tuberculosis (TB) burden data, from the World Health Organisation (WHO), into R. The aim of
getTBinR is to allow researchers, and other interested individuals, to quickly and easily gain access to a detailed TB data set and to start using it to derive key insights.
A shiny app reproducing the models used in the Introduction to Tuberculosis modelling course practicals, run by TB MAC at the 2017 Union conference. See the TB MAC website for course materials and further resources. The models used in this course, and reproduced in this shiny app, were based on one published by Lin et al.. The source code is available on here
FC dashboard is a simple tool for exploratory data analysis on the funding circle loanbook. The source code can be found here. This is an independant project and is in no way associated with funding circle. Since the original development of this dashboard Funding Circle has stopped publishing it’s full loanbook, this means that some functionality will no longer work as originally intended and that data will no longer be updated.
Explore a range of infectious disease models in a consistent framework. The primary aim of
idmodelr is to provide a library of infectious disease models for researchers, students, and other interested individuals. These models can be used to understand the underlying dynamics and as a reference point when developing models for research.
The Pebble Game is a shiny application that simulates the pebble game. This is a simple game that has been developed by BIDD at the University of Bristol, to help a general audience understand the role of vaccination in preventing the onward transmission of infectious disease. The source code can be found here.
prettypublisher is an R package that aims to improve your workflow by allowing an easier transition from literate code to a paper draft ready for journal submission.
R package containing the scripts required to clean data from the Enhanced Tuberculosis Surveillance system, and the Labour Force Survey, and to then calculate Tuberculosis incidence.