Ceilidh is a PhD student at the University of Cambridge, funded by Cancer Research UK RadNet. She graduated from the University of Exeter with a master's in physics, gaining her first insights into the interface between physics, data science and biological sciences.
Ceilidh's PhD is in the field of predictive modelling and personalised medicine in oncology. She focuses primarily on developing imaging and modelling techniques to identify prognostic biomarkers to stratify head-and-neck cancer patients with increased risk of radiotherapy toxicity and local recurrence. Her interests are broadly in imaging and machine learning applications in biological sciences. She is also passionate about ethical and accurate healthcare digitisation and the continual integration of clinician and patient feedback when developing machine learning tools for clinical settings.