Nicos Angelopoulos

Expertise

Areas of expertise

  • probabilistic reasoning
  • computational biology, bioinformatics
  • signaling and immunity
  • classical AI, machine learning
  • R programming
  • Bayesian networks, graphical models and causality
  • Bayesian model averaging (MCMC- Markov chain Monte Carlo) algorithms
  • parameter estimation via EM (Expectation-Maximisation)
  • Prolog programming
  • probabilistic extensions to Prolog (Prism, SLPs, MLNs, ProbLog)
  • linux/unix
  • latex
  • databases (especially in programming context)