About
Fredrik Ohlsson is an Associate Professor at Umeå University's Department of Mathematics and Mathematical Statistics. His research applies differential geometry to biomathematics and AI, with emphasis on symmetry in biological systems and geometric deep learning.
He earned his PhD from Chalmers University of Technology in 2012, focusing on gauge theories in particle physics. Prior roles include mathematical modeling at RISE Research Institutes and Chalmers University.
Current work integrates geometric principles into neural networks and dynamical systems, with applications in computer vision, energy harvesting, and biological modeling. Teaching includes mathematics courses for engineering and teacher education programs.
No awards, advisees, or labs are explicitly mentioned.
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