Michael Riis Andersen
Associate Professor
Department of Applied Mathematics and Computer Science
Technical University of Denmark


Research interests
Statistical machine learning, probabilistic modelling, Bayesian statistics, uncertainty quantification, approximate inference, Bayesian deep learning, natural language processing, writing development & educational technology, neuroimaging.

Google scholar


Current teaching

  • 02477 Bayesian Machine Learning (5 ECTS, M.Sc.-course, 2021-)


Current Ph.D. students

  • Mads Birch Sørensen
  • Paul Jeha (co-supervisor)
  • Jonas Vestergaard Jensen (co-supervisor)
  • Laurits Fredsgaard Larsen (co-supervisor)

Alumni

  • Mikkel Jordahn (PhD student, principal supervisor)
  • Maxim Khomiakov (PhD studenet, co-supervisor)
  • Johannes Kruse (PhD student, co-supervisor)
  • Gabriel R. Mayol (PhD student at Valencia polytech, co-supervisor)