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Research programmes
Significant programmes of strategic research, typically led by a Programme Director or Directors and with involvement from industry, public sector or third sector partners
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Professor Aaron Sloman
Turing Fellow
Aaron Soloman
Imperial College London
Dr Abi Adams
University of Oxford
Abi Adeniyi
Finance Assistant - Projects
Dr Adam Butterworth
University of Cambridge
Dr Adam Farquhar
British Library
Adam Hildreth
CEO of Crisp
Dr Adam Brentnall
Turing Fellow
Professor Adam Johansen
Data-Centric Engineering Group Leader
Adam Wootton
Lecturer, University of Keele
Dr Adam Steventon
Director of Data Analytics, The Health Foundation
Dr Adam Sanborn
Turing Fellow
Adam Tsakalidis
Visiting Researcher
Dr Adeniyi Fasoro
Research Project Manager, Data Science for Science
Aditi Shenvi
Enrichment Student
Dr Adrià Gascón
Visiting Researcher
Artificial intelligence (AI)
Advancing world-class research into artificial intelligence, its applications and its implications for society, building on our academic network’s wealth of expertise.
Data science at scale
Building upon advances in high-performance computer architectures, through algorithm-architecture co-design, with applications including health and life science.
Data science for science
Ensuring that research across science and the humanities can make effective use of state of the art methods in artificial intelligence and data science.
Data-centric engineering
Bringing together world-leading academic institutions and major industrial partners from across the engineering sector, to address new challenges in data-centric engineering.
Defence and security
Collaborating with the defence and security community to deliver an ambitious programme of data science and artificial intelligence research.
Finance and economics
Develop cutting-edge methods to foster financial innovation and deepen our understanding of the economy, to benefit society at large.
Health and medical sciences
Accelerating the scientific understanding of human disease and improving human health through data-driven innovation in AI and statistical science.
