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Michael Riis Andersen is an Associate Professor at the Technical University of Denmark, specializing in research areas closely aligned with the UN Sustainable Development Goals. He focuses on innovative techniques in Bayesian neural networks and their applications in molecular discovery. As a prominent figure in his field, he supervises multiple PhD students, contributing to the advancement of responsible recommender systems and counterfactual techniques in healthcare. His collaborative projects span across significant research domains, carving out a niche in utilizing advanced statistical methods to solve pressing global issues. Andersen's active engagement in research projects, alongside his role in mentoring new researchers, demonstrates his commitment to fostering academic growth and addressing contemporary challenges effectively.
Technical University of Denmark • Kgs. Lyngby, Denmark
Engaged in both teaching and research activities, focusing on machine learning and statistical techniques.
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.