Jessica Hargreaves
Visit Jessica Hargreaves's profile on the York Research Database to:
- See a full list of publications
- Browse activities and projects
- Explore connections, collaborators, related work and more
Profile
Biography
- MSci Mathematics (Imperial College, London)
- Trained and worked as a Secondary School Mathematics Teacher, 2011-2014.
- PhD Statistics (University of York)
- Lecturer in Statistics (Sheffield Hallam University)
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.
Departmental roles
- Impact officer
- EGPC Committee Member
Research
Overview
The main 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 work was motivated by various applied problems in the field of circadian biology. In particular, this research: introduced a new method for clustering rhythmic biological data (with a focus on circadian oscillations) and developed novel hypothesis testing procedures in the (wavelet) spectral domain (which were motivated by three complementary applications in circadian biology).
Other research interests include: the application of statistical methods and tools to sport, and teaching and learning pedagogy.
Further details of my publications may be found through my Google Scholar Profile or my ORCID ID.
Research group(s)
Teaching
Undergraduate
Statistical Pattern Recognition