When Emma was asked to give a talk to students at her old university it got her thinking about how to describe the HDR UK-Turing PhD programme.

She told them that it’s full of opportunities to engage with and learn from experts from across the spectrum of health data science. These have included a three month project using clustering and classification to try and identify more nuanced subtypes of COVID-19 outcomes.

Emma has a particular interest in women’s health and another of her projects has been looking at endometriosis – which she sees as in need of more research.

The programme has also made her curious to explore the potential applications of machine learning to electronic health records to improve our understanding of diseases that currently have long waits from first symptoms to diagnosis.

In the longer term, Emma is considering working in industry – her imagination has been particularly caught by companies developing apps and software that aim to help patients understand symptoms, manage conditions and move forward to treatment more quickly.

Emma is engaged on her thesis project which will involve using electronic health records to help support the diagnosis of hard-to-suspect conditions in primary care associated with diagnostic delay.

Emma’s background

Emma has an MMath from the University of Bath where her main focus was on Numerical Analysis and Applied Maths. An internship introduced her to the potential applications of data science in healthcare.

In her free time she enjoys reading, cooking, and volunteering with her local Brownie pack.