About

I am a 2nd year PhD student at Loughborough University in the School of Sport, Exercise and Health Science. My research focuses on physical activity: the healthful benefits it has, how best it can be quantified and how to encourage the population to do more of it. My PhD is looking specifically at helping to answer these questions regarding short bouts of physical.

During my PhD I have developed a keen interest in all things data science and have recently started to focus on using these skills to develop software including R packages and Shiny applications.

This blog aims to highlight both my research, and data science interests and hopefully can prove useful to you or your colleagues.


United States Covid 19 Data

R is a highly effective tool to manipulate and wrangle your data into a format that can then be represented on a map. Whenever a dataset contains some form of location information consider whether a map could be a useful method to show th relationships in your data.

Heart disease prediction

Heart disease is a global health concern and the ability to accurately predict who has, and who does not have, heart disease is could prove very useful. In this analysis, we will use a number of metrics, and a range of machine learning methodologies, to predict whether a patient has heart disease.