CV

I am a PhD student within the Precision Medicine CDT working in the Centre for Medical Informatics (CMI) at the Usher Institute, the University of Edinburgh under Professor Miguel O. Bernabeu & Professor Baljean Dhillon. My research involves prediction of neurodegenerative diseases such as Alzheimer’s from retinal imaging. I am also a member of SCONe, where I apply these methods. My background is in machine learning with big data, computer science and data science. I have worked with Amazon on the problem of extreme classification for sub-linear memory scaling for classification. I also have experience as a research engineer focusing on gambling addiction, behavioural prediction and behavioural modelling at bet365.

Education

• PhD Student (University of Edinburgh & University of Glasgow), 2023–2028. “Realising the potential of retinal image analysis with AI methods for monitoring neurodegenerative brain health in the community”. Supervisors: Professor Miguel O. Bernabeu & Professor Baljean Dhillon.
  • Precision Medicine CDT funded by the MRC
  • Member of the Centre for Medical Informatics, the Usher Institute, and SCONe
  • Interdisciplinary project combining disease prediction, retinal imaging, data science and computer vision
  • Publication: Prediction of Optical Coherence Tomography Retinal Layer Thickness from Colour Fundus Photography in the UK Biobank (IOVS, 2025)
• MSc Artificial Intelligence (University of Edinburgh, School of Informatics) – Merit, 2018–2021. Dissertation “Exploring the behaviour of Merged-Averaged Classifiers via Hashing for Extreme Classification” with Amazon Research and supervised by Professor Iain Murray.
  • Developed extreme classification techniques using hashing and data sketching for sub-linear memory
  • Implemented deep learning models in TensorFlow with Python and C++ (Count-min Sketch)
  • Courses focused on image processing, machine learning, neuroscience and data science
• BSc Computer Science (Keele University) – 1st Class Honours (3.8–4.0 GPA equivalent), 2014–2017. Dissertation “Creating a computational model of the barrel cortex implementing BCM learning theory to test in-vivo plasticity experiments” with Professor Peter Andras.

Work experience

• Research and Development Engineer (bet365), 2017–2018.
  • Processed and analysed over 23 million records spanning more than a decade of gambling behaviour
  • Performed extensive data cleaning and unsupervised modelling to define behavioural sub-types
  • Communicated findings to non-technical audiences and trained models to estimate addiction risk
  • Classifiers were being integrated into business operations when I left to begin my MSc

Publications

Prediction of Optical Coherence Tomography Retinal Layer Thickness from Colour Fundus Photography in the UK Biobank

Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).