I studied Mathematics and Physics at Durham University before training to be an actuary at a global consultancy. Here I helped clients understand and manage the risks associated with large corporate pension arrangements.
PhD title
Machine learning strategies to discover clinically-relevant biomarkers of biological age
My PhD research addresses the global challenge of ill-health in older populations. Outcomes vary significantly but many individuals experience lengthy periods of poor health in later life. The complexities of health needs and the associated economic burdens have implications for employers, insurers and public sector provision.
The analysis of large ageing-related datasets can help further our understanding of healthy ageing. My research uses machine learning to develop new computational strategies for working with electronic health data. The end goal is to help enable personalised and preventative healthcare and lifestyle advice.
I am a Fellow of the Institute and Faculty of Actuaries and have spoken at a number of data science events for the profession.
