Accepting PhD Students

PhD projects

- Dynamic prediction in time-evolving settings
- Uncertainty quantification for risk-sensitive decisions
- Interpretability and explainable AI (XAI)
- Stress testing under extreme or systemic scenarios
- Spatial dependence in entities' behaviour
- Selection bias from non-random data access (e.g., accepted loans only)
- Imbalanced data and rare-event learning
- Scalability and variable selection to high-volume, high-dimensional data
- From association to causation in predictive modelling