Stefan Dietrich Güttel (born 27 November 1981) is a German numerical analyst.
His PhD thesis Rational Krylov Methods for Operator Functions was supervised by Michael Eiermann.
[3] Güttel is best known for his work on numerical algorithms for large-scale problems arising with differential equations and in data science, in particular Krylov subspace methods.
In 2021 he was awarded the James H. Wilkinson Prize in Numerical Analysis and Scientific Computing by the Society for Industrial and Applied Mathematics (SIAM) for his contributions to the analysis, implementation, and application of rational and block Krylov methods (laudatio),[5] which have become popular for the efficient numerical solution of large eigenvalue problems, matrix equations, and in model order reduction.
He served on the editorial boards of the SIAM Journal on Scientific Computing (2015–2021) and Electronic Transactions on Numerical Analysis (since 2020).