Supervision

I supervise undergraduate and postgraduate projects in data science for health and medicine, with a focus on robust modelling, interpretability, and translational impact.

Current Students

This year’s projects are focused on applied cancer data science and protein language models, with each student exploring a different disease context and outcome question.

Zhen Xiao

Exploring the application of protein language models to cancer survival analysis (LGG + GBM)

BSc Biomedical Sciences (Data Science)

Matthew Santos

Exploring the application of protein language models to cancer survival analysis (Lung Carcinoma)

BSc Biomedical Sciences (Data Science)

Previous Students

Maximilian Walden

Data completeness and transformer-based imputation for OpenAPS diabetes data

MScR in Cardiovascular Research

Dremon Salas

Visual analytics for machine learning models in hybrid closed-loop diabetes systems

MSc in Data Science for Health and Social Care

Jason Alacapa

Machine learning for Scottish A&E 4-hour wait prediction and trend analysis

MSc in Data Science for Health and Social Care

George McKay

Uncovering key drivers of optimal and sub-optimal blood glucose levels in type 1 diabetes

MScR in Cardiovascular Research

Hui Pheng Teoh

Identifying and explaining key trends in Scottish accident and emergency attendances and waiting times

MSc in Data Science for Health and Social Care