Morten Mørup

Morten Mørup is Professor at DTU Compute, Technical University of Denmark. His research develops machine learning methods for life sciences, focusing on tensor decompositions, Bayesian inference, and complex network analysis.

Education: PhD from DTU Informatics (2008) with research visits to Stanford and UC Berkeley.

Research Expertise: Unsupervised learning, neuroimaging data analysis, and statistical network modeling applied to neuroscience and educational analytics.

Awards: EliteForsk travel scholarship (2006), Lundbeck Foundation Fellowship (2012), and Ingeborg og Leo Dannins Scholarship (2021).

Recent Publications focus on graph representations, educational data mining, and speech separation models.