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David Pisinger is a leading researcher in Decision Science, with extensive expertise in optimization problems, particularly stochastic optimization. His work is aligned with the UN Sustainable Development Goals, focusing on innovative solutions to improve operational efficiency. Over the years, he has spearheaded multiple PhD projects aimed at advancing methodologies in decision-making under uncertainty. His research has contributed to various fields, including machine learning and its applications in operational research. Pisinger’s active engagement in academic conferences and his collaboration with PhD students underline his commitment to fostering knowledge and mentorship in the area of decision science. He has received numerous awards for his contributions to the field, including the ERC-2022-ADG grant and recognition as a finalist for the EURO Excellence Practice Awards.
Technical University of Denmark • Kgs. Lyngby, Denmark
Leading research and educational programs in Decision Science and Optimization.
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.