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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.
Improving Android game recommendations
Creating a deep learning based tool to improve game recommendations on Samsung Galaxy devices
Automating data visualisation
Researching algorithms for visualising data in digital twins, including automating the layout of large scale data and visualising the uncertainty of data values
Data science toolkit for explorable data visualisations
Helping scientists understand data analyses by connecting parts of visualisations to the data they depend on
Integrating information visualisation with machine learning
Integrating interactive data and information visualisation with machine learning technologies for learning for large datasets
Pinpointing molecular mechanisms of complex disease
Combining population and molecular data to pinpoint disease causing DNA changes
Analysing social and geographic datasets
Mapping the available tools and techniques for qualitatively understanding human behaviour, in the context of social dynamics
Safe AI for surgical assistance
Developing methods for assistive robots to learn correct actions from human experts, in the domain of surgical assistance in operating rooms
sktime: A toolbox for data science with time series
A unified toolbox for time series in the Python programming language
Data science tools for high-performance computing
Enabling the provision of popular data science packages within a managed, multi-user, academic high performance computing (HPC) environment
Scalable regression: Tools and techniques
Developing techniques for regression models to scale at large data volumes, incorporating regression model power into big data analytics engines
Advancing methodology for predictive healthcare
Developing methodologies for complex health data and individual-level risk prediction
Data safe havens in the cloud
Developing a policy and process framework for secure environments for productive data science research projects at scale
Computational models of police demand dynamics
Exploring how advanced simulation techniques might be used to increase understanding of demand for, and supply of, policing resources
Knowledge discovery from health use data
Transforming the approach to working with clinical data to enable data scientists to help improve clinical decision-making.
