Scholar
Morten Mørup
Google Scholar ID: RQonsgMAAAAJ
Section for Cognitive Systems, Technical University of Denmark
Citations & Impact
Citations
2,612
H-index
26
i10-index
56
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Key research domains include Tensor Decomposition, Statistical Modeling of (Dynamic) Complex Networks, (Non-)Parametric Bayesian Inference, Polytope Extraction and Archetypal Analysis, Functional Neuroimaging Data Modeling, and Life-Science Data Analysis and Data Fusion.
Research Experience
- PostDoc in Intelligent Signal Processing Group (2008-2009); Assistant Professor, Section for Cognitive Systems (2010-2012); Associate Professor, Section for Cognitive Systems (2012-2019); Current position: Professor of Machine Learning for the Life-Sciences (2020-present).
Education
- University of Copenhagen, Biophysics and Mathematics (Fall 1999 – Summer 2001); Washington State University, exchange student in Computational Neuroscience (Spring 2004); Technical University of Denmark, Cand. Polyt. Applied Mathematics (February 2005); PhD in Intelligent Signal Processing Group at DTU Informatics (September 29, 2008).
Background
- Professor in machine learning and data science, focusing on unsupervised learning and pattern recognition methods, particularly multi-way/tensor decomposition approaches, statistical complex network modeling approaches, and Bayesian inference with applications to life-science data.
Miscellany
- Visiting Ph.D. Student at Stanford University, Department for Scientific Computing (Summer 2006 – Fall 2006), Host: Professor Gene H. Golub; Visiting Ph.D. Student at UC Berkeley, Department of Mathematics (Fall 2007), Host: Morrey Assistant Professor Lek-Heng Lim.
