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I am currently a researcher in mathematics with focus on some theoretical and numerical investigations of deep learning and deep neural networks. Before I joined the mathematics department, I worked a couple of years as a numerical solver developer at Comsol AB.
I got my Ph.D in computational mathematics in 2013 under the supervision of Prof. Jan Nordström, with the thesis "Stable and High-Order Finite Difference Methods for Multiphysics Flow Problems".
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My current research is focused on deep learning and deep artificial neural networks, in particular in relation to high-dimensional partial differential equations in complex geometries.
Besides deep learning and neural networks, I have an interest in numerical methods for PDEs. In particular stability of finite difference methods, and more recently also algebraic multigrid.
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