PhD

Challenges and opportunities presented by automated and AI-assisted machine learning pipelines.

Applications of modern machine learning methods to challenges in medicine and healthcare.

AI methods to optimize sequential decisions for long-term outcomes, with applications to reducing healthcare burdens on patients, researchers and clinicians.

The Eventful project aims to extend, combine and improve state-of-the-art methods used to model events to increase their performance, explainability, trustworthiness and applicability to richer data sets.

Survival/time-to-event analysis is an important field of statistics concerned with understanding the distribution of events over time.