Using machine learning to predict the stability of amorphous drugs
Using response times to characterize human behaviour in decision making
Implicitly building explicit models by autonomous driving algorithms in Multi- Agent Reinforcement Learning
Modelling the spread of porcine epidemic diarrhoea virus at different spatial scales
Bayesian Optimisation for Quality Diversity Search
A new approach for quantifying uncertainty in data assimilation
Bayesian Optimisation for Robust Solutions
Applications of Generative Adversarial Networks in Medical Imaging
Communication in the Attention Economy
Probabilistic Graphical Modelling of the Dynamics of Social Systems
Relational Reinforcement Learning from Raw Images with applications to Robotics
Automatic generation of chest x-ray reports using deep learning
Efficient and Parallel Simulation-based Optimisation
Mechanism Design and Strategyproofness on Networks
Spatial Modelling of Cell Type-Specific Gene Expression
MSc graduates
Jack Cowlard
Leander Cascorbi
Alexis Ramirez
Huaying Qiu
Modelling the effects of coinfection and immunosuppression
Top-down and bottom-up models in active matter
Data driven analysis and modelling of the wealth distribution
Mathematical modelling to inform Yaws eradication
Simulating the evolution of realistic redox chemical reaction networks
Symmetry invariant representations for Machine Learning of electronic structure data beyond energies
Age structured models for Human African Trypanosomiasis
Predicting drought in the African continent
Early warning signals of disease elimination
Multi-Information source Bayesian Optimisation
MSc graduates
Edoardo Barp
Aliya Jangabylova
M Sharma
Huan-Pong Tseng
Duleabom An
Son Le
Annika Stechemesser
Xiaoyue Xi
Modelling ecologies of investors and the impact on financial system stability
Using deep learning and online data to better understand house price changes
Data-driven design of robust, resilient and intention-based scheduling algorithms for Digital Railways
Modelling and data driven approaches to intelligent mobility
Correlation, concurrency, and clustering in network models of epidemics in human populations
Mechanistic modelling of the Synaptic Vesicle Fusion Pathway
The topology and geometry of liquid crystals
Routing choices in intelligent transport systems
Non-Stratifie Chain Event Graphs: Dynamic variants, inference and applications
The Evolution of the Major Histocompatibility Complex
Dynamics of lipid membrane tubes
Adaptive management of infectious disease epidemics
Big Data Application to Transport Modelling
Multitask and transfer learning in Gaussian Process models
New applications of data science for intelligent transportation systems
Spatio-temporal dynamics of gambiense human African trypanosomiasis infection
Modelling nuanced interventions for neglected tropical diseases
Fluctuation-driven firing in spatially extended neuron models
Tumour analytics in colorectal adenocarcinoma whole-slide histology images
Statistical methods for campylobacter outbreak detection using genomics and epidemiological data
Optimising chronotherapy for gastrointestinal cancers
Modelling the early time interactions between Mycobacterium tuberculosis and alveolar macrophages
Correlation between prevalence of endemic infections in metapopulation networks
Network science for social and technological systems
Spatiotemporal analyses of visceral leishmaniasis
MRes graduates
Luke Whincop
Construction and Dynamics of Knotted Fields in Soft Matter Systems
Future state maximisation as an intrinsic motivation for decision making
Efficient pairwise information collection for subset selectionLink
Stochastic approaches to infectious disease in heterogeneous populationsLink opens in a new window
Latent variable modelling of population neuroimaging and behavioural data Link
Improving dengue fever surveillance with online data
Bayesian methods and data science with health informatics data
Optimal policy for large herding population Link
