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Kathlén Kohn is an Associate Professor at KTH Royal Institute of Technology in Sweden, specializing in algebraic geometry and its applications in data science and artificial intelligence. She is known for her work on the connections between discrete geometry, combinatorics, and representation theory, as well as her research in tropical geometry, statistics, machine learning, and computer vision. Kohn has presented her research through various prestigious lectures, including the Ludwig Schläfli lecture at the University of Bern. Her academic contributions have been recognized through awards and highlights in conferences such as ICCV, ICML, and CVPR. She is also a member of ELLIS and actively supports research initiatives like WASP, which focuses on creating intelligent systems in collaboration with human operators. Kohn's educational contributions include teaching and managing courses on algebraic structures, demonstrating her commitment to fostering the next generation of researchers in her field.
KTH Royal Institute of Technology • Stockholm, Sweden
Conducting research and teaching in algebraic geometry and data science.
Master's programs are organized under Schools; departments listed are units within these schools (e.g., EECS, ABE, CBH, ITM, SCI).