Per Christian Hansen

Per Christian Hansen is a Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark. His research focuses on numerical analysis, algorithms for inverse problems, imaging, tomography, and matrix computations. He has held academic positions since 1996 and has contributed to computational uncertainty quantification through projects like CUQI funded by Villum Fonden.

His research interests span inverse problems in imaging and tomography, uncertainty quantification, and numerical linear algebra. Recent publications demonstrate advancements in plasma physics, computational imaging, and open-source software development.

Hansen has received funding for major projects including the Computational Uncertainty Quantification for Inverse problems (CUQI) initiative from Villum Fonden (2019-2025).