My interests are in the development and application of statistical and machine learning methods in health emergencies. I am in the process of completing a PhD and did a MSc in statistics at the school. I have worked as a Biostatistician in both academia and industry on a range of therapeutic areas, predominantly focusing on clinical trials.
I teache on a several courses including Introduction to Statistical Computing, Statistics for Epidemiology and Population Health (STEPH). I run the Introduction to Stata Programming for PhD students and have been involved with R programming for PhD Students.
My work involves spatial statistics, machine learning, simulation studies, clinical trials, and data visualisation.
I utilise Bayesian and likelihood inference and predominantly use R, Python, and occasionally Julia for analyses.