Alice studied her integrated master’s degree in mathematics and statistics at the University of Oxford. There, she developed interests in stochastic processes, time-series analysis, and applying statistics to public health problems. During a summer research internship in the Oxford Statistics Department, she investigated the performance of random effects models in Mendelian Randomization under realistic violations of key assumptions.
Her master’s thesis focuses on using state-space models to estimate the time-varying infection fatality rate of COVID-19 from wastewater data, aiming to reveal differences in disease burden across communities with varying social vulnerability. Looking ahead, Alice plans to explore applications of machine learning in infectious disease modelling.
Outside of her academic work, Alice enjoys baking, knitting, and spending time in nature.
