My background is in Mathematics and Statistics, having completed a BSc in Mathematical Sciences at the University of Durham in 2021 and a MSc in Statistical Science at the University of Oxford in 2022. I am passionate about the use of quantitative methods for tackling challenging social, environmental and public health issues, and have worked on a variety of research projects exploring these topics. Previous areas of interest have been prescribing practices of pain medications in the UK and evidence synthesis in conservation science, which I worked on as summer projects at Durham and Cambridge universities respectively. I became further interested in statistics and data science in health through my undergraduate project in modelling the dynamics of infectious disease and my masters dissertation on risk prediction in case-cohort studies using data from the China Kadoorie biobank (supervised by Christiana Kartsonaki at the Nuffield Department of Population Health).
Moving forward, apart from building on my previous research, I am interested in developing and applying some of the machine learning methods I studied during my master’s degree for applications such as building tools to facilitate more objective analysis of qualitative information in clinical setting.
In my spare time, I am an avid fencer.