Georg Maierhofer

Dr Georg Maierhofer is a Henslow Research Fellow at Clare Hall, University of Cambridge, affiliated with the Department of Applied Mathematics and Theoretical Physics (DAMTP) in the Applied and Computational Mathematics research group. His work focuses on numerical analysis for partial differential equations and scientific computing.

Education:

• BA & MMath, Trinity College, University of Cambridge (2013-2017)
• PhD, Cambridge Centre for Analysis, University of Cambridge (2017-2021)

Georg's research centers on structure-preserving numerical methods, particularly for nonlinear dispersive PDEs and high-frequency wave scattering. He integrates machine learning into classical numerical algorithms for mesh optimization and solver acceleration. Key applications include simulating extreme ocean waves and noise processes in turbomachinery. His work bridges geometric numerical integration with low-regularity data in infinite-dimensional settings.

Recent publications highlight low-regularity integrators, symplectic algorithms, and graph-based machine learning for mesh refinement. He also explores resonance-based schemes and high-frequency wave scattering in computational physics.

Scientific Awards:

• Marie Skłodowska-Curie Fellow (2021-2023)
• Henslow Research Fellow, Clare Hall (2023-present)

Dr Maierhofer's affiliations include DAMTP and the Mathematics of Information research group. He collaborates with experts like Professor William Lionheart and Professor Athanassios Fokas.