This page details my academic research interests, and will be regularly updated as new research is performed.
Match-Fixing in TennisCurrently, my research is investigating issues pertaining to match-fixing in tennis.
- Julian, B. R., Foulger, G. R., Hatfield, O., Jackson, S. E., Simpson, E., Einbeck, J., & Moore, A. (2015). Hotspots in hindsight. Geological Society of America Special Papers, 514, 105-121.
- STOR-i conference 2017. Detecting Match-Fixing in Tennis
- STOR-i conference 2016. Detecting Match-Fixing in Tennis
- MRes Short Research Project 2015. Clustering Methods.
As part of the STOR-i doctoral training programme, I completed a 1-year MRes degree, introducing me to a wide range of topics in both statistics and operations research.
My undergraduate degree was a 4 year MMath in Mathematics, studied at the university of Durham, from which I graduated in 2014. The final year research project I completed while there was entitled "On the Origin of Hotspots: The Statistical Analysis Thereof". It was one of three projects to receive a departmental prize. This helped contribute to the paper in the publications section above entitled "Hotspots in Hindsight". A poster was made to accompany the work, as well as a presentation which I gave in the 2014 Durham University Rising Stars Research Symposium.
The idea behind the project was to analyse evidence for two main theories about volcanic hotspot formation: the plate hypothesis, which claims hotspots are shallow-sourced from side effects of tectonic plate activity, and the plume hypothesis, which claims they originate from the core-mantle boundary. Both cite the fact that hotspots are spatially correlated with various geological features as evidence. The project used Monte Carlo methods and geometry to examine the statistical evidence for these claims.
During the summer of 2013, I had my first experience of Lancaster University and STOR-i through a summer research internship. Over the 8 weeks, I studied multiple changepoint detection under Robert Maidstone. My research specifically related to detecting changes in regression, and the accompanying poster can be viewed on the STOR-i website.