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Theoretical foundations

Deriving useful information from Big Data requires the development of increasingly sophisticated methods of mathematical and statistical analysis and the design of efficient algorithms. Research in this theme ranges from the development of statistical methodologies to extract meaningful information from Big Data, in particular, high dimensional data, to machine learning and the study of theoretical computer science

Champion:

Browse researcher profiles below, or contact one of the Theme Champions to find out more. 

People specializing in this area

Principal Investigators

The University of Cambridge is a founder member of the Alan Turing Institute, the UK's national institute for data science.

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