Research

Advancing preference learning, optimisation theory, and scalable human-AI systems.

Preference Learning

Structured modelling of human values and trade-offs in complex multi-objective environments.

Optimisation Under Uncertainty

Robust decision frameworks for high-dimensional, partially observed systems.

Human-in-the-Loop Intelligence

Interactive architectures that combine algorithmic precision with expert oversight.

Selected Research Directions