Domenic Di Francesco

Domenic Di Francesco

Position

Turing Research Fellow

Partner Institution

Bio

Domenic is a chartered mechanical engineer who has previously worked for consultancies in the energy industry. He completed his PhD in 2021, and his thesis investigated the application of partial pooling (hierarchical and gaussian process) Bayesian models in value of information analysis, with application to structural integrity management. Since joining the Alan Turing Institute, he has continued to work on various methods in statistical decision analysis, as well as industrial projects including guidance for engineers on the use of computational statistics, and verification of digital twins.

Research interests

  • Bayesian statistics
  • Decision making under uncertainty
  • Value of information analysis
  • System effects
  • Risk management