Visit Jessica Hargreaves's profile on the York Research Database to:
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In September 2019, I joined the Department of Mathematics at the University of York as a Lecturer (Teaching and Scholarship) in Statistics.
In October 2022, I started a new role as a Lecturer in Data Science.
My research is motivated by various applied statistics problems in fields such as biology, chemistry and sport.
One focus of my research is utilising wavelet techniques to model time series whose characteristics evolve through time (often referred to as locally stationary time series). This research has developed: a new method for clustering rhythmic biological data (with a focus on circadian oscillations); a novel wavelet domain dimension reduction technique for nonstationary time series (for e.g. electroencephalogram (EEG) data) and novel hypothesis testing procedures in the (wavelet) spectral domain (which were motivated by three complementary applications in circadian biology).
My other main research interest is the development and application of statistical methods and tools in sport. This research has: examined the home advantage; investigated factors determining attendance at sporting events and developed methods for analysing career trajectories of professional athletes. I am currently working with a number of professional sports organisations with the goal of making quantitative analysis more accessible. Together with my colleagues Dr Ben Powell and Dr Rich Bingham, we formed Quantitative Sports Analysis: York (QSAY) as a vehicle for our mathematical investigations of sports data.
Further details of my publications may be found through my Google Scholar Profile or my ORCID ID.
Statistics and Probability Research Group
Current Research Students