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Tue Herlau is an Associate Professor at the Technical University of Denmark, with expertise in modeling complex networks using Bayesian methods. His main research area involves the application of these methods to brain imaging data, focusing on the multiscale structures present in complex networks. He is particularly interested in how these networks can exhibit nested structures that range from small cliques to large social systems. With a background in physics and mathematics from the University of Copenhagen, as well as a master's degree from DTU Informatics, Herlau has contributed to the academic community through supervision and collaboration in various projects. He has been involved in significant research activities including PhD supervision and has worked with students on projects that explore the probabilistic modeling of materials.
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.