Research Bio

Per-Olof Persson is a Professor of Mathematics at the University of California, Berkeley, and a Faculty Senior Scientist at the Berkeley Lab. He received his Ph.D. from the Massachusetts Institute of Technology in 2005, where he also developed the widely used DistMesh algorithm for unstructured mesh generation in implicit and deforming geometries. He has also worked for several years on the development of commercial numerical software, such as the finite element package COMSOL Multiphysics. His research focuses on high-order discontinuous Galerkin methods for computational fluid and solid mechanics, spanning efficient discretizations, scalable solvers, and adjoint-based optimization. A second key area of his research is mesh generation, where he has developed methods for space-time and curved meshes, as well as new approaches based on machine learning.
 

Research Expertise and Interest

numerical methods, numerical linear algebra, computational fluid and solid mechanics, mesh generation, machine learning