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Arne Storjohann is a researcher and educator in the field of Symbolic Computation, specializing in algorithms for symbolic exact linear algebra and algorithmic number theory. He is associated with the David R. Cheriton School of Computer Science at the University of Waterloo, where he contributes to research in developing efficient algorithms for a range of problems involving linear algebraic structures and matrix computations. His interests include the development of algorithms for computing invariant properties of integer matrices, solving systems of linear equations, and understanding the behavior of sparse matrices in computational contexts. In the domain of algorithmic number theory, he explores the intricacies of basic operations in rings and variants of the extended GCD problem. Arne has published numerous works in these areas and is actively involved in promoting computational mathematics through various software initiatives.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.