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Bastian Alexander Grossenbacher is a researcher in the Department of Computer Science at the University of Fribourg. He specializes in geometric deep learning and topological data analysis, contributing innovative approaches within the field of machine learning. His research focuses on higher-order learning and essential structures that integrate geometry and topology. He is actively involved in advancing the understanding of complex data through the development of new methodologies and algorithms that bridge these interdisciplinary domains.
Requirements apply to English-taught Master programs across SES and Science faculties.