Research
Disease Dynamics
Studying how diseases evolve over time by analysing patient-level trajectories rather than single snapshots.
Longitudinal Modelling
Exploring methods for learning from irregular, sparse, and noisy time-series data common in real-world healthcare settings.
Early Risk Signals
Investigating how subtle changes in data may indicate future deterioration or divergence before clinical thresholds are reached.
Interpretability & Clinical Context
Considering how predictive models can be made interpretable and aligned with clinical reasoning, rather than operating as black boxes.
