- E-Mail:
- christian.offen@uni-paderborn.de
- Phone:
- +49 5251 60-5023
- ORCID:
- 0000-0002-5940-8057
- Social Media:
- Office Address:
-
Technologiepark 21
33100 Paderborn - Room:
- TP21.1.14
About Christian Offen
Curriculum Vitae
08/2020 - 10/2024: Postdoc
Paderborn University, Department of Mathematics. Research Group Applied Mathematics, Numerics, and Optimization. Member of MKW NRW Projekt Photonisches Quantencomputing (PhoQC)
11/2016 - 09/2020: PhD in Mathematics
Massey University, New Zealand. Thesis: Analysis of Hamiltonian boundary value problems and symplectic integration, advisor: Dist. Prof. Robert McLachlan. (2019 - Hatherton Award, 2020 - Dean's List of Exceptional Theses)
10/2014 - 09/2016: Master of Science Mathematics
University of Hamburg, Master studies. Thesis: Seiberg-Witten Curves and Parabolic Affine Spheres (Differential Geometry), advisor: Prof. Dr. Vicente Cortés
10/2011 - 09/2014: Bachelor of Science Mathematics
University of Hamburg, Bachelor studies. Thesis: Classification of solutions of the Monge-Ampère equation in the finitely punctured plane (Differential Geometry), advisor: Prof. Dr. Vicente Cortés
21.08.2020: Thesis Award
Honour of inclusion of my doctoral thesis in the Dean’s List of Exceptional Doctoral Theses
17.10.2019: Hatherton Award 2019
Best scientific paper by a PhD student at any New Zealand university in chemical sciences, physical sciences, mathematical and information sciences - Royal Society of New Zealand (Hatherton Award 2019)
06.12.2017: Aitken Prize (Honorary mention)
Honorary mention in the Aitken Prize of the New Zealand Mathematical Society for the talk "Bifurcations of solutions to Hamiltonian boundary value problems"
01.05.2014: German Academic Scholarship Foundation
Award of a scholarship by the German Academic Scholarship Foundation (Studienstiftung des deutschen Volkes)
17.05.2011: Award by the German Mathematical Society (Abiturpreis)
Award for outstanding highschool graduates by the German Mathematical Society
Research
Research Interests
- Structure-preserving numerical integration
- Data-driven models for dynamical systems (especially Hamiltonian/Lagrangian systems)
- Kernel-based methods
- Multi-symplectic integration
- Lie group methods
- Bifurcation theory