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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 tracking of iceberg populations in the Southern Ocean
Using machine learning to develop new methods to detect and track icebergs in radar satellite imagery
Enabling trust models for differential privacy
Exploring novel trust models and how much extra utility can be gained from them
AI for precision mental health: Data-driven healthcare solutions
Developing a cost-effective clinical decision support system to help clinicians
Towards incoherent speech as a predictor of psychosis risk
Investigating whether quantitative markers of speech can detect psychotic disorders and help predict clinical outcomes
DeepGalen: Using background knowledge for personalised healthcare
Integrating patient data with genetic, clinical and biological information to aid learning about human disease
Palaeoanalytics
Using data science and machine learning to develop cross-disciplinary analytical methods in human evolutionary studies
Automatic detection of genetic oscillators
Developing data analytics for high-throughput single-cell experimental data to aid better understanding of stem cells
Decision support algorithms for emergency departments
Developing machine learning classifiers to predict departure points in emergency departments in hospitals
Statistics and the law: Probabilistic modelling of forensic evidence
Using real casework to inform the development of probabilistic methods for evaluating complex forensic evidence
Optimising hypertension management strategies
Using smart algorithms to optimise treatment decisions in blood pressure management and reduce economic burden on healthcare providers
Jazz as social machine
Investigating the human complexities at the border between AI and jazz improvisation
Efficient description of image data
Creating a mathematical tool set for image analysis and established effectiveness in medical applications
Deep learning for predicting breast cancer therapies
Combining genomics with deep neural networks to predict therapies that can bypass resistance and minimise toxicity
