As a research assistant in Professor Azra Ghani’s COVID-19 group, I maintain regular model fitting to COVID-19 data, which are used to project short term country-specific scenarios and assess the global situation. I am also working using these fits to quantify the impact of the global COVID-19 vaccine rollout.
I completed my undergraduate degree in Mathematics and an MSc in Data Science at Lancaster University, supplementing my knowledge of R programming and statistics with Python and machine learning. In my final project, I developed a Bayesian Data Augmentation method for stochastic compartmental epidemic models and applied this to the ongoing COVID-19 epidemic, using my work to make parameter inferences in the presence of censored infection times and undetected infections.
Post-graduation, I joined the Clinical Trials Research Unit at the University of Leeds. There, I worked on a range of Phase III trials within the unit’s blood cancers portfolio. Whilst at Leeds, I learnt to use the statistical software SAS, collaborated with trial managers and clinicians to perform tertiary analysis of trial data, and helped to set up a prospective trial looking at treatment strategies in CLL.