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Kathlén Kohn is an associate professor at the Royal Institute of Technology (KTH) in Sweden. Her main research interests include algebraic geometry and its computational aspects, as well as its applications in data science and artificial intelligence. She explores connections between discrete geometry, combinatorics, representation theory, tropical geometry, statistics, and machine learning. Kohn has been involved in significant projects and has presented at renowned conferences, including the biannual Ludwig Schläfli lecture at the University of Bern on the Algebraic Geometry of Neural Networks. Her work has been highlighted in numerous prestigious forums, including the CVPR and ICML. Additionally, she is a member of the ELLIS society and is actively engaged in the Wallenberg AI, Autonomous Systems Software Program (WASP). Kohn's interdisciplinary approach and dedication to education signify her commitment to advancing research in artificial intelligence and autonomous systems.
Royal Institute of Technology • Stockholm, Sweden
Teaching and conducting research in mathematics and its applications to data science and artificial intelligence.
Specific requirements apply to all departments. For Architecture, a portfolio is mandatory and submitted via a separate KTH system.