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)
  • Arthur Chan (PhD student)
  • Dr. James Cheney (fearless leader)
  • Frank Emrich (PhD student)
  • Dr. Simon Fowler (Research Software Engineer)
  • Rudi Horn (Pervasive Parallelism CDT student)
  • Dr. Wilmer Ricciotti (Postdoc)
  • Dr. Jan Stolarek (Postdoc)

Past members

  • Dr. Sidahmed Benabderrahmane (Postdoc, moving to University of Luxembourg)
  • Dr. Ghita Berrada (Postdoc, now at King's College, London)
  • Dr. Stefan Fehrenbach (PhD, now at Proda)
  • Dr. Weili Fu (PhD, now at University of Freiburg)
  • Himan Mookherjee (MSc)
  • Dr. Roly Perera (Postdoc, now at The Alan Turing Institute)
  • Dr. James McKinna

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

For additional older provenance-related publications by us and other researchers in Edinburgh, see this page.

Last modified: Mon Mar 30 16:46:18 BST 2020