Past and Present

This page details my academic research interests, and will be regularly updated as new research is performed.

Current Research:

Match-Fixing in Tennis

Currently, 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.


Previous Education:

Lancaster University

STOR-i: MRes

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.

Durham University


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.

STOR-i Internship

Summer 2013

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.