Skip to main content


Tom Friedetzky

Research interests

Theoretical Computer Science, in particular:

  • randomised algorithms & probabilistic analysis,
  • combinatorial algorithms,
  • evolutionary processes,
  • theoretical foundations of distributed algorithms,
  • communication in networks (e.g., broadcasting, rumour spreading),
  • load balancing (esp. balls into bins)

Please check out DBLP

Supervised PhD students

  • Currently co-supervising
    • David Kutner – Durham Doctoral Studentship
  • Graduated
    • Chris Wastell – EPSRC DTA funded studentship
    • Sepehr Meshkinfamfard – EU FP7 Marie Curie ITN “Scaling by means of ubiquitous storage” (SCALUS)
    • Lars Nagel – EPSRC 1st Grant scheme


  • 2022/23
    • L3 Advanced Algorithms and Data Structures
    • L4 Randomised Algorithms and Probabilistic Methods
    • MSc Algorithms in MISCADA Core IIb