I am a Health Data Science PhD student at UCL focused on utilising phenotypic data from electronic health records to predict the likelihood of a patient having an underlying genetic disorder. Some of the aims of this research include reducing misdiagnosis and enabling genetic discovery. At the start of my PhD, I carried out a 3 month study focused on creating a function to predict left ventricular systolic dysfunction in patients with heart failure and atrial fibrillation by applying supervised machine learning techniques to data from the UK Biobank.
I began my 3.5 year PhD in October 2018 and am funded by the Medical Research Council as part of their NPIF Studentship in Data Science or Artificial Intelligence. I am based at the Institute of Health Informatics (IHI), UCL.
I co-lead the IHI Code Club, organised by a group of PhD students and early career researchers based at 222 Euston Road, which aims to promote good coding practices and reproducible research.
I have an engineering background, having graduated from the University of Bristol in 2018 with a MEng in Computer Science and Electronics, and am interested in applying my skills to advancing research in the healthcare field.