Postdoctoral Data Scientist, Centre for Cancer Prevention
I am a Postdoctoral Data Scientist at the Centre for Cancer Prevention working on a Breast Cancer Now-funded project entitled "Models for risk of aggressive breast cancer and risk-stratified screening strategies". The research aims to adapt the Tyrer-Cuzick breast cancer risk model to determine risk by oestrogen-receptor status, develop a model to estimate risk of node-positive breast cancer at detection, and evaluate the benefits and harms of risk-stratified screening based on these models.
Prior to joining the Centre for Cancer Prevention, I completed an integrated master's degree (MMath) in Mathematics with Economics at the University of Sussex, with a dissertation on mathematical modelling of virus-induced autoimmunity. I joined the Centre for Cancer Prevention in 2015 as a PhD researcher working with Professor Jack Cuzick and Dr Adam Brentnall. My thesis, entitled "Breast cancer risk associated with changes in mammographic density", focused on the use of repeated measures of mammographic density to estimate risk of breast cancer. After completing my PhD in 2019, I worked at the University of Western Australia as a visiting researcher, before returning to the Centre for Cancer Prevention to begin my postdoc in 2020.
Longitudinal analysis of biomarkers
Breast cancer screening & prevention
Statistical models for breast cancer risk prediction