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Morten Mørup is Professor at the Section for Cognitive Systems, DTU Compute. Morten's research focuses on Machine Learning for the life sciences. In particular, his field of research is machine learning and data science where he researches methods for unsupervised learning and pattern recognition in particular with focus on multi-way/tensor decomposition approaches, statistical complex network modeling approaches and Bayesian inference with applications to life-science data. He received in 2008 the degree of PhD at DTU Informatics. During his PhD Morten visited Stanford University and University of California, Berkeley as a guest researcher. In 2006 Morten received an EliteForsk travel scholarship from the ministry of Science, Innovation and Higher Eductation, in 2008 Director Peter Gorm-Petersens memorial scholarship and in 2012 he was awarded a Lundbeck Foundation Fellowship, and in 2021 he received Ingeborg og Leo Dannins Scholarship for Scientific Research.

Other information

Language Skills:
English
German
French

Research areas

Morten Mørup is Professor at the Section for Cognitive Systems, DTU Compute. Morten's research focuses on Machine Learning for the life sciences. In particular, his field of research is machine learning and data science where he researches methods for unsupervised learning and pattern recognition in particular with focus on multi-way/tensor decomposition approaches, statistical complex network modeling approaches and Bayesian inference with applications to life-science data. He received in 2008 the degree of PhD at DTU Informatics. During his PhD Morten visited Stanford University and University of California, Berkeley as a guest researcher. In 2006 Morten received an EliteForsk travel scholarship from the ministry of Science, Innovation and Higher Eductation, in 2008 Director Peter Gorm-Petersens memorial scholarship and in 2012 he was awarded a Lundbeck Foundation Fellowship, and in 2021 he received Ingeborg og Leo Dannins Scholarship for Scientific Research.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Keywords

  • User defined:
  • NeuroImaging
  • Complex Networks
  • Machine Learning
  • Unsupervised Learning

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