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Niklas’ interests lie in developing and building data-driven models that automatically learn underlying structures and dependencies of and within different types of data. This includes machine learning as well as data mining.
Niklas has a Master’s degree in Bioinformatics from the University of Tübingen and a PhD in computer science from the University of Copenhagen. During his PhD he worked with diffusion weighted images of the human brain to analyze and reconstruct structural connection between different brain regions.
Before working at the Alexandra Institute Niklas has worked as a research assistant at the University of Copenhagen where he preprocessed diffusion weighted images.