Regular biography
Prof. Dr. rer. nat. Elisabeth Ullmann is a professor in the Department of Mathematics at the Technical University of Munich. She holds the title of Professor of Scientific Computing and Uncertainty Quantification. Her research interests include scientific computing and uncertainty quantification, with a focus on areas such as multilevel Monte Carlo methods and numerical treatment of partial differential equations. She has held various academic positions at the Technical University of Munich, including W3 Associate Professor with tenure since 2021. She has also served as an associate editor for several academic journals, including the SIAM Journal on Scientific Computing and SIAM/ASA Journal on Uncertainty Quantification.
Scholar-generated biography
Elisabeth Ullmann is a researcher at the Technical University of Munich, specializing in Uncertainty Quantification, Scientific Computing, Numerical Analysis, and Applied Mathematics. Her work focuses on developing and analyzing numerical methods for solving partial differential equations with random coefficients. She has contributed significantly to the field through studies on multilevel Monte Carlo methods, stochastic Galerkin discretizations, and preconditioning techniques for stochastic systems. Her research also explores the application of physics-informed neural networks in cardiac electrophysiology and Bayesian inverse problems. Ullmann's publications highlight her expertise in efficient solvers, convergence analysis, and the computational aspects of stochastic finite element methods.