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Oskar Nylén Nordenfors is a Doctoral student at Umeå University specializing in Mathematical Statistics. His research interests include Optimization Dynamics and Geometric Deep Learning. He has co-authored works targeting advancements in Machine Learning, focusing on the role of artificial intelligence in industrial contexts. Oskar is engaged in projects that explore students' perspectives on AI and its implications for the future of engineering and management practices. His academic contributions have been presented in notable conferences, collaborating with other scholars to address pressing challenges in the field of engineering management and AI.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.