After his Bachelor Physics and Astronomy and BSc project on modelling plasma light emission in Tokamak reactors, Jaro did a master in Computational Science that he obtained at the UvA in 2017. For his master thesis he worked on the parameterization of subgrid processes in atmospheric flow at the KNMI. He has very broad scientific interest ranging from cell biology to plasma physics and from modelling physical systems to machine learning and scientific visualization.

At the eScience Center he works on eWaterCycleII and other related projects.

Key skills

  • Scientific Computing
  • Modelling Physics and Astronomy
  • Computational (cell)Biology
  • Scientific Visualization
  • Python/C++

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