Peter Benner received the Diploma in mathematics from the RWTH Aachen University, Aachen, Germany, in 1993. From 1993 to 1997, he worked toward the Ph.D. at the University of Kansas, Lawrence, KS, USA, and the TU Chemnitz-Zwickau, Germany, where he received the Ph.D. in Mathematics in February 1997. In 2001, he obtained the Habilitation (Venia Legendi) in Mathematics from the University of Bremen, Germany. He was an Assistant Professor with the University of Bremen, Germany, from 1997 to 2001. After spending a term as Visiting Associate Professor with the TU Hamburg-Hamburg, Germany, he was a Lecturer in Mathematics with the TU Berlin, Germany, from 2001 to 2003. Since 2003, he has been a Professor for Mathematics in Industry and Technology with the TU Chemnitz. In 2010, he was appointed as one of the four Directors of the Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany. Since 2011, he has also been an Honorary Professor with the Otto-von-Guericke University of Magdeburg, Germany. He is a SIAM Fellow (Class of 2017).

Peter Benner’s main research interests include Scientific Machine Learning with a focus of learning dynamical systems from data, Numerical and Multi-linear Algebra including in particular large-scale and low-rank tensor computations, Model Order Reduction of dynamical systems using intrusive and non-intrusive methods, Reduced-order and Data-driven Modeling of time-dependent processes, Numerical Methods in Systems and Control Theory, PDE Constrained Optimization, High-performance and Power-aware Computing.