Marco De Angelis

PhD, Institute for Risk and Uncertainty

I am a postdoctoral research associate, in short postdoc, at the University of Liverpool since May 2018. My research focuses on the efficient and rigorous uncertainty propagation through computational codes via both intrusive and non-intrusive algorithms. I am appointed for the Uncertainty theme on the EPSRC programme grant on Digital Twins for improved dynamic design. Previously, I was manager of the centre for doctoral training in complex systems and environments at the University of Liverpool's Institute for Risk and Uncertainty for over two years. I hold a PhD in risk and uncertainty in industrial engineering systems from UoL, an MSc cum laude in structural engineering and a BSc cum laude in engineering for the mitigation of natural risks from Roma Tre, University of Rome.

Research interests

  • Imprecise probability and statistics
  • Intrusive and non-intrusive forward uncertainty propagation
  • Monte Carlo and advanced sampling
  • Inferential statistics with imprecise data
  • Reliability analysis
  • Rigorous computing with interval analysis
  • Machine learning for approximation of computer codes
  • Robust Bayes
  • Probability and confidence boxes
  • Credal networks
  • Parametric dimensionality reduction