DPhil in Statistics student
I am a 3rd year DPhil student in the Department of Statistics funded by the National Institute for Health and Care Research (NIHR) Health Protection Research Unit in Emerging and Zoonotic Infections (HPRU-EZI). My thesis is entitled “Epidemiological modelling and analysis of COVID-19, MERS and other high-consequence infectious disease transmission risks”. Broadly speaking, my research focusses on the use of statistical and mathematical modelling techniques for the analysis of outbreaks of infectious diseases, with a focus on COVID-19. I have a strong interest in the use of modelling in informing public health policy: in January - April 2022, I worked at the UK Health Security Agency (UKHSA) analysing the impact of changing COVID-19 case definitions and testing policies on estimates of the effective reproduction number; throughout June – September 2022 I worked as a statistician for the Infected Blood Inquiry; and in May - July 2023 I worked as a statistical epidemiologist on MERS-CoV at the World Health Organization.
I have an undergraduate degree in Mathematics, Operational Research, Statistics and Economics with Intercalated Year from the University of Warwick (2017) and a Masters in Statistics from Imperial College London (2018). I am a Visiting Researcher at the MRC Centre for Global Infectious Disease Analysis at Imperial College London where I worked from 2019 – 2020 before beginning my DPhil.
- Statistical and mathematical techniques to analyse outbreaks of infectious diseases, particularly COVID-19.
- Techniques to overcome the issue of biased or non-representative epidemiological data.
- The use of modelling in informing public health policy.
- Communication of modelling results, particularly the associated uncertainty, to non-technical audiences.