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Research projects
Focused scientific study, led by Turing researchers, working with other academics and often industry collaborators, towards defined objectives. Turing research projects aim to be multidisciplinary and multi-institutional, delivering both scientific and real-world impact.
Uncertainty quantification for black box models
Developing methods for the quantification of uncertainty in complex numerical models
Digital twin of the world’s first 3D printed stainless steel bridge
A revolutionary project to create the world’s first 3D printed steel pedestrian bridge, innovating across multiple disciplines to transform design and construction and gain greater understanding of how infrastructure can act as a living object
Vulnerability to misinformation during COVID-19
Providing insight into people’s vulnerability to accepting health-related misinformation during COVID-19
Synthetic data generation for finance and economics
Generating artificial business, finance, and economic data to enable data sharing, scenario simulation, and model validation
Statistical machine learning for randomised clinical trials (MRC CTU)
Developing and applying machine learning methods to improve the design, conduct and analyses of clinical trials
Risk prediction in adult cardiac surgery
Using machine learning to identify patients who are likely to not survive open heart surgery in the UK
Applied Research Centre for Defence and Security
Focusing on the application of cutting-edge technology to problems within the defence and security sector
Neutron scattering and machine learning
Using neural networks to interpret magnetic structure from inelastic neutron scattering experiments
Masking clouds in satellite imagery
Using machine learning techniques to classify cloudy pixels from satellite images to aid more accurate monitoring of remotely sensed environmental and climate variables
Diffuse multiple scattering analysis
Analysing complex multi-phase materials using X-ray scattering and machine learning
Radiation detectors and machine learning
Developing a machine learning approach to discriminating between different types of radiation in cutting edge scintillator detectors
Data-driven evaluation of treatments for type 2 diabetes
Using machine learning to investigate differential effects of therapies on Type 2 diabetes patients
Technical advice for the NHS COVID-19 app
Informing the NHS Test and Trace programme’s understanding of the spread of the virus and helping to optimise the performance of the app
