Jindong Wang
I am a Royal Society Newton International Fellow at the Mathematical Institute, University of Oxford, working with Prof. Kaibo Hu. I previously held postdoctoral appointments at King Abdullah University of Science and Technology (2025-2026) and Penn State University (2024–2025). I received my Ph.D. in Computational Mathematics from Peking University (2024) and my B.Sc. in Mathematics and Applied Mathematics from Tongji University (2019).
My research focuses on numerical methods for partial differential equations (PDEs). Recently, I have been working on computational hydrodynamics, including the antidynamo problem and structure-preserving methods. I have also been developing stabilized finite element methods for advection–diffusion problems involving differential forms.
Here is my CV.
news
| Nov 2026 | I will attend the Oberwolfach Seminar Mathematical Developments in Magnetohydrodynamics and Dynamo Theory at the Mathematisches Forschungsinstitut Oberwolfach (MFO), Germany, from November 22 to 27, 2026. (upcoming) |
|---|---|
| Sep 2026 | I am visiting the Institute for Mathematical Research (FIM) at ETH Zurich from September 23 to December 18, 2026. |
| Jul 2026 | A new preprint, Optimal Block Preconditioners for a Mass-Conserving Mixed Stress Formulation of Stokes Flow, is available. This is a joint work with Prof. Kaibo Hu and Prof. Jongho Park. |
| Jul 2026 | A new preprint, ReLU$^k$ Neural de Rham Complexes, is available. This is a joint work with Prof. Kaibo Hu and Prof. Jinchao Xu. |
| Jun 2026 | I will give a talk at the Minisymposium “Neural Networks: Analysis, Algorithms, and Interplay with PDEs” at Scientific Computing and Differential Equations (SciCADE 2026) at Edinburgh, UK. |