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Bastian Alexander Grossenbacher is a researcher affiliated with the Department of Computer Science at the University of Fribourg. His research interests lie in the fields of Geometric Deep Learning, Foundations of Machine Learning, Topological Deep Learning, and Topological Data Analysis. He is actively engaged in exploring higher-order learning structures and their applications in geometry and topology. Grossenbacher's work contributes to the understanding and development of advanced methodologies in machine learning that leverage geometric and topological insights. He holds a position of Assistant Professor and is involved in various teaching activities within his department.
Requirements apply to English-taught Master programs across SES and Science faculties.