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Paolo Vincenzo Freiesleben de Blasio is a PhD student focused on research areas related to the UN Sustainable Development Goals. His work contributes to global initiatives aimed at ending poverty, protecting the planet, and ensuring prosperity for all. His current project involves machine learning-driven autonomous discovery of electrocatalysts for oxygen evolution in alkaline environments, demonstrating a commitment to innovative solutions in sustainable technologies. Through his studies, he aims to extract insights that will enhance service usage and understanding of information access strategies.
Danish Technical University • Kgs. Lyngby, Denmark
Conducting research on machine learning-driven autonomous discovery of electrocatalysts.
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.