People
Hendrik Ranocha
Professor in Numerical Mathematics at Johannes Gutenberg University Mainz
Brief CV
- 2023/09–: Professor, Johannes Gutenberg University Mainz (Germany).
- 2022/03–2023-08: Assistant Professor, University of Hamburg (Germany).
- 2021/03–2022/02: Postdoctoral Fellow, University of Münster (Germany). Advisor: Mario Ohlberger
- 2019/09–2021/02: Postdoctoral Fellow, King Abdullah University of Science and Technology (KAUST, Saudi Arabia). Advisor: David Ketcheson
- 2018/02–2019/09: Postdoctoral Research and Teaching Associate, TU Braunschweig (Germany) Advisor: Thomas Sonar
- 2018/03–2019/02: Teaching assignment, Ostfalia University of Applied Sciences (Germany)
- 2016/04–2018/02: PhD Mathematics, TU Braunschweig (Germany). Advisor: Thomas Sonar
- 2014/10–2016/02: MSc Mathematics, TU Braunschweig (Germany)
- 2011/10–2014/09: BSc Mathematics, TU Braunschweig (Germany)
- 2013/08–2013/12: Exchange student, Yonsei University (Seoul, South Korea)
- 2010/10–2013/07: BSc Physics, TU Braunschweig (Germany)
Graduate Students and Postdocs
- Arpit Babbar: 2024-08–, Postdoc
- Valentin Churavy: 2024-08–, Research Software Engineer
- Louis Petri: 2024-02–, PhD student
- Marco Artiano: 2023-10–, PhD student
- Sebastian Bleecke: 2022-04–, PhD student
Collaborators
We collaborate with several other research groups. You can find a full list of all co-authors on the Google Scholar website of Hendrik Ranocha. Some selected collaborations focusing on both numerical analysis and software development include
- The groups of Gregor Gassner, Andrew R. Winters, Michael Schlottke-Lakemper, and Jesse Chan. We work together on Trixi.jl, a Julia package for adaptive high-order numerical simulations of conservation laws.
- The group of David I. Ketcheson. We are interested in analyzing and developing time integration methods. This also includes developing software such as NodePy, RK-Opt, and BSeries.jl.
- Several groups developing open source software in Julia. We are part of the SciML organization and contribute to their ecosystem of high-performance Julia libraries such as OrdinaryDiffEq.jl.