Protecting against malicious use of image diffusion models
Objectives matter: A mathematical modelling framework to identify optimal control strategies for future infectious disease outbreaks
Calibration and optimisation of biopharmaceutical processes
Age-specific representations of social contact networks using egocentric survey data
Multi-Objective Reinforcement Learning and Fairness
Collective Motion and Path-Entropy
Sorting, topology, and structural control in cells
Spatial and epidemiological modelling for wildlife and agricultural health
MSc graduates
Boyang Han
Farzona Mukhamedova
Investigating the role of symptom severity on health economic outcomes
Designing actively robust products with Bayesian optimisation
Thematic network modelling for digital ecosystems
Leveraging biomolecular simulations to understand and predict the Blood-Brain-Barrier permeability of drugs
Developing quantitative models of tissue morphogenesis using vertex models with boundary constraints
Nash neural networks: Inferring utilities from optimal behaviours in epidemics
Control of opinion dynamics in multiple dimensions
Synthesising behavioural and epidemiological models and their methodologies to simulate predictive spread of infectious diseases
A/B testing with a changing context
Bayesian Optimisation for dynamic optimisation problems
MSc graduates
Obed Nwachukwu
Ryan Teo
Deep spatiotemporal models for Video Representation Learning
Mathematical modelling of microstructure in symmetric and asymmetric rolling
Offline reinforcement learning
Modelling vector-borne disease epidemic risks using forward climate projections
Improving inference of pathogen transmissibility and effects of interventions during epidemics
Spatial-Temporal Context Aware Crowd Counting
Optimising cancer therapy
MSc graduates
Callum Ilkiw
Satoshi Komuro
Jack O'Connor
Emergence of cooperation and mesoscale structures in dynamic networks
Mathematical and statistical methods for modelling stem cell differentiation
Modelling the spread of disease in honey bees, and predicting the efficacy of control methods
Emergence of cooperation and mesoscale structures in dynamic networks
New approaches to modelling malaria transmission and insecticide resistance: using realistic mosquito biology and behaviour, and network methods
Modelling Lassa fever in Nigeria
Numerical estimations of information measures
Probabilistic time-parallel numerical integration algorithms with applications to magnetic fusion plasma
Dynamics and collaboration in decision making
Rare-events in turbulent fluid flow
Linking Cortical Spreading Depression with Migraine
Reformulating Reinforcement Learning
The dynamics of sensitivity vs resistance to antibiotics in bacterial pathogens
Within-host Modelling of Immunisation
Trophic analysis in financial networks
MSc graduates
Daniel Catchpole