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Kai Blin is actively engaged in research relating to the UN Sustainable Development Goals, focusing on contributions to sustainable development in food and agriculture. He has supervised several PhD students working on innovative projects that integrate computational techniques with fungal microbes to optimize agricultural production. His work includes structural variant calling and genomic data analysis, particularly aimed at natural product discovery utilizing artificial intelligence and machine learning methods. Blin has also contributed to the field through numerous conference presentations and workshops, collaborating with international researchers in various projects that address challenges in food sustainability and natural product mining.
Technical University of Denmark • Kgs. Lyngby, Denmark
Engaged in advanced research and teaching in the field of biotechnology, focusing on sustainable agricultural practices and computational biology.
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.