Ava completed her BSc in Mathematics and Statistics at the University of Plymouth, graduating with first-class honours and receiving the Royal Statistical Society Award for Excellent Achievement. She then went on to complete her MSc in Health Data Science and Statistics as part of an NIHR Pre-Doctoral Fellowship awarded in 2024. Her master’s thesis consisted of using convolutional neural networks (CNNs) to classify brain tumour MRIs, with a focus on interpretability.
Ava’s DPhil project, supervised by Dr Charles Rahal, will involve integrating LLMs and big data into agent-based models, with a view to analyse healthcare policies, and address health disparities.
Ava Keeling
Ava completed her BSc in Mathematics and Statistics at the University of Plymouth, graduating with first-class honours and receiving the Royal Statistical Society Award for Excellent Achievement. She then went on to complete her MSc in Health Data Science and Statistics as part of an NIHR Pre-Doctoral Fellowship awarded in 2024. Her master’s thesis consisted of using convolutional neural networks (CNNs) to classify brain tumour MRIs, with a focus on interpretability.
Ava’s DPhil project, supervised by Dr Charles Rahal, will involve integrating LLMs and big data into agent-based models, with a view to analyse healthcare policies, and address health disparities.