I completed my undergraduate medical degree at UCL and became intrigued by health data science whilst working on a project which developed a predictive disease model for patients in response to immunotherapy treatment. This sparked an interest in learning more advanced techniques so I can collaborate on large-scale multi-centre data research as I appreciate this is pivotal to improve our current strategies for disease prevention, diagnosis and patient outcomes.
I am tremendously grateful to have been awarded an MSc scholarship jointly funded by HDR UK in partnership with Asthma + Lung UK. The scholarship has enabled my master’s research dissertation in building and validating machine learning models to predict which asthma patients are more likely to have poorly controlled disease and not engage with healthcare services. The results from this project will be fed back into a larger NIHR-funded study that is working with people with asthma to develop novel patient-centred approaches in asthma care in order to improve UK asthma outcomes – for example by using evidence to determine key factors that must be addressed to help meet the needs of groups with poorer asthma outcomes, particularly those disproportionately affected by wider societal inequalities
