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Karel Devriendt is a Research Fellow at the Mathematical Institute at the University of Oxford. His research is focused on the applications of graph theory, particularly in the areas of discrete curvature and discrete geometry. He completed his PhD at the University of Oxford, where he studied concepts of effective resistance in graph geometry. After his doctoral studies, he undertook postdoctoral research at the Max Planck Institute in Leipzig and Dresden, concentrating on matroids, tropical geometry, and algebraic statistics. Karel is currently involved in exploring applications in network epidemics and the analysis of social networks through the lens of neural network geometry. He regularly participates in the Networks Seminar and engages with the academic community through various talks and presentations, sharing insights from his research.
Mathematical Institute, University of Oxford • Oxford, UK
Conducting research in graph theory with a focus on applications in various fields including network epidemics and social network analysis.
Department of Politics and International Relations - Higher Level English requirement.