Optimisation and Sequential Decision-Making
Optimisation and estimation methods, with constrained online learning, reinforcement learning and operational decision support.
Research
I love to be thrown into the webs and flows of trying to solve real-world problems with human-centered machine learning. It's amazing how these truly human problems poke us to develop new algorithms and theories that are both mathematically sound and practically useful.
I develop methods for trustworthy machine learning, focusing on optimisation and decision-making under constraints and uncertainty. My work spans distributed learning and geometric models, with applications in space operations, clinical decision support and facial animation.
Federated Learning and Distributed Optimisation
Learning and optimisation across distributed data owners, with convergence analysis and communication constraints.
Geometric Learning and Facial Animation
Geometric priors for 3D learning and shape modelling, with research on facial-motion generation.
AI for Space Operations
Orbit estimation and conjunction analysis, with optimisation and learning methods for space operations.
AI for Clinical Decision Support and Healthcare management
Clinical information extraction and decision support, with models for referral networks and healthcare demand.