While working in healthcare consulting Eloise found herself increasingly drawn to the data science aspects of her job, and it was this that inspired her to apply for the PhD programme.
Once her foundation year is complete, Eloise is interested in working on using machine learning techniques applied to genomics data for cancer research.
She has already been involved in a group project making use of electronic health records (EHRs) and survival models for COVID-19. Additionally, she has been involved in a project combining gene expression data with convolutional neural networks to predict breast cancer combinatorial therapies.
For Eloise the chance to use health data to achieve practical, real-world results has been particularly appealing.
Once her doctorate is complete she is aiming for a career in health data science, either in industry or academia.
Eloise followed up an undergraduate degree in biochemistry and bio engineering at Imperial College London followed by a Master’s in Computing Science.
Her pastimes include reading, music and the outdoors.