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.

Current teaching
02477 Bayesian Machine Learning (5 ECTS, M.Sc.-course)

Current Ph.D. students

• Mikkel Jordahn
• Maxim Khomiakov (co-supervisor)
• Johannes Kruse (co-supervisor)
• Paul Jeha (co-supervisor)
• Jonas Vestergaard Jensen (co-supervisor)
• Laurits Fredsgaard Larsen (co-supervisor)