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My 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.
I have a PhD (2016) in computer science from the University of Copenhagen. During my PhD I worked with diffusion weighted images of the human brain to analyze and reconstruct structural connection between different brain regions.
I did both my Bachelor and Masters' degrees at the University of Tübingen in Bioinformatics. In my bachelor project the aim was to find the smallest set of antibodies to detect all proteins/peptides occurring in a tissue sample. In my Masters' thesis I prioritized genes to be related to a certain disease based onknown relationships and similarities between genes and diseases. This prioritization can then be used to decide which genes should be investigated further.
Before working at the Alexandra Institute as a Machine Learning Specialists, I worked as an research assistant at the University of Copenhagen where I preprocessed diffusion weighted images.