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Principles of Provenance group

Provenance refers to information about the source, origin, derivation or authorship of data. It has deep connections to topics such as program slicing, causality, explanation, and information flow security. The Principles of Provenance group performs fundamental research on provenance as well as principled system development.


  • Sándor Bartha (Data Science CDT student)
  • Prof. James Cheney (fearless leader)
  • Frank Emrich (PhD student)
  • Dr. Vashti Galpin (Postdoc)
  • Dr. Wilmer Ricciotti (Postdoc)

Past members

Positions available

No positions are available at the moment.


Current projects

  • Programming foundations for trusted data science, UK National Physical Laboratory collaboration, (2019--2021)
  • Probabilistic property-based testing, joint with Vaishak Belle, PhD studentship funded by Huawei
  • Skye: A programming language bridging theory and practice for scientific data curation, funded by an ERC Consolidator Grant (2016-2021)

Past activities

Recent publications

Last modified: Wed Sep 20 14:31:49 BST 2023 Accessibility statement