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Research projects
Focused examples of research undertaken at the Turing, within programmes or independent from them and with a range of goals and aims
Adaptive MCMC
Optimising sampling algorithms used for genomics, infectious diseases, climate, and financial and industrial models
Co-designing algorithms and computer architecture
Designing hardware to suit the needs of data science algorithms, which will similarly be designed to suit the capabilities of the hardware
Clean air in London
Developing machine learning algorithms and data science platforms to understand and improve air quality over London
Capturing complex data streams
Describing complex sequences of data from different sources, to gain insights and generate meaningful actions in a range of applications
Cancer pre-diagnostic analytics with AI
Creating a digital repository of a variety of tumour and immune cells and developing algorithms to recognise these cells automatically
Bayesian analysis of single cell sequencing data
Developing statistical tools for biological data, to understand complex biological processes, such as cancer
Artificial intelligence for data analytics
Drawing on new advances in AI and machine learning to address data wrangling issues, and help to automate the data analytics process
Anomaly detection to combat fraud
Finding patterns in data that depart significantly from expected behaviour, in order to make fraud detection quicker and more cost-efficient
