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I have developed both particle-in-cell and plasma fluid codes for the simulation of electric discharges (non-thermal plasmas), see projects. I'm also active in the development of MPI-AMRVAC, a framework for (magneto)hydrodynamics simulations. From a computational point of view, my work has focused on topics such as:
Since the end of 2018 I'm involved in two projects on machine learning for space physics applications, namely AIDA and ESCAPE, together with Enrico Camporeale.
This is an incomplete list of topics that I'd like to investigate. If you are interested in collaborating or doing a student project, feel free to get in touch (see contact).
I finished my PhD thesis in November 2015. The work was done in the Multiscale Dynamics1) group at CWI, under the supervision of Ute Ebert.
After finishing secondary school in 2005, there were three topics that I wanted to study:
Thus far, I have mostly been busy with the latter two questions, with my primary research interests being computational science and computational physics. I like to study systems that have some intrinsic complexity, not coming from boundary conditions or input data.