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Morten Mørup is a Professor at the Section of Cognitive Systems, DTU Compute. His research primarily focuses on Machine Learning and its applications in life sciences. Mørup specializes in developing methods in unsupervised learning and pattern recognition, with a particular emphasis on multi-way/tensor decomposition techniques, statistical modeling of complex networks, and Bayesian inference applied to life-science data. He obtained his PhD from DTU Informatics in 2008, during which he also spent time as a guest researcher at prestigious institutions such as Stanford University and the University of California, Berkeley. Mørup has received several accolades throughout his career, including the EliteForsk travel scholarship in 2006 and the Lundbeck Foundation Fellowship in 2012. His ongoing projects and collaborations highlight his commitment to advancing research in the intersection of Machine Learning and life sciences.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.