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Leon Eyrich Jessen is an Associate Professor and group leader in the Computational Autoimmunity group at the Department of Health Technology, Technical University of Denmark. His research encompasses computational immunology, focusing on understanding the disruptions in central tolerance mechanisms that allow the immune system to differentiate between self and non-self. He aims to uncover the immuno-cellular processes that are associated with autoimmune diseases using advanced technologies. Jessen applies machine learning based bioinformatics tools to analyze single cell data, making significant contributions to the field. He is involved in teaching 'R Bio Data Science', which has become the third largest course within his department. His work aligns with the UN Sustainable Development Goals, particularly in the realms of improving health and well-being through innovative research methods.
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.