The CDT's Executive Committee provides strategic direction, leadership, and daily management for the CDT in Data Science.
Amos Storkey - Director

Deep learning, Understanding neural networks, Machine learning and reinforcement learning under real word constraints. Transfer learning and meta-learning, Bayesian methods, machine learning markets, learning representations & structure, models for sequences & connections to neural computation. Applications in images, brain imaging, medicine & signal processing music and games.
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Milos Nikolic - Co-Director

Databases, large-scale data management systems, in-database learning, stream processing, incremental computation, query compilation.
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Siobhan Carroll - CDT Administrator
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Andreas Pieris

Databases with emphasis on query languages, knowledge representation and reasoning, computational logic and its applications to computer science
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Peter Buneman
Databases: data models, query languages, semistructured data, data provenance, databases and programming languages. Programming languages: functional programming and type systems. Bioinformatics and scientific databases. Mathematical phylogeny.
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Lindsey Fox - Graduate School Manager

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Ken Scott - Business Development Executive

Startup & Spinout Companies, Technology Licensing, Consultancy, Collaborative Research, Industry Studentships
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