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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.
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
Anonymisation and provenance
Using the provenance of data to automatically choose the appropriate anonymization technology needed to protect the data across boundaries and uses
Digital twins for the built environment
Developing new mechanisms to leverage data science and simulation to support energy efficient built environments
Digital twins for infrastructure and construction
Developing the mathematical and statistical underpinnings of digital twins of assets such as bridges
Robust inference for air quality monitoring
Developing new computational and statistical tools to better understand and predict urban air quality
Effects of climate change on extreme weather events
Using 'distributional downscaling' to predict the effects of climate change on extreme weather events
Machine learning prediction of plant chemical production
Investigating the modeling and prediction of the biosynthesis of triterpene natural products in plants
Agent-based models of police resourcing and demand
Developing proof of concept models to unpick police supply and demand interactions
Understanding Arctic sea ice loss
Using machine learning techniques to understand the complex interactions between climate and Arctic sea ice
Disease trajectories of atrial fibrillation
Taking a machine learning approach to understanding the diseases related to abnormal heart rhythm
