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.
| Research video
Milos Nikolic - Co-Director
Databases, large-scale data management systems, in-database learning, stream processing, incremental computation, query compilation.
Siobhan Carroll - CDT Administrator
Databases with emphasis on query languages, knowledge representation and reasoning, computational logic and its applications to computer science
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.
Lindsey Fox - Graduate School Manager
Ken Scott - Business Development Executive
Startup & Spinout Companies, Technology Licensing, Consultancy, Collaborative Research, Industry Studentships