Joeri Van Engelen is an advisor and researcher at Deltares with a decade of experience building and streamlining complex regional groundwater models, often by contributing to and applying open-source tooling like imod-python. His PhD work on fresh-salt groundwater distributions in major deltas revealed that present-day patterns reflect millennia of processes and that some deltas may lose their fresh reserves within this century. He combines hands-on numerical modelling on national supercomputing resources with pragmatic pre-processing automation to make long-timescale simulations tractable. Based in the Randstad, he bridges academic insight and operational advisory work, and has a knack for reusing lightweight sensitivity and uncertainty methods from his early research to reduce computational cost.
11 years of coding experience
BSc, Bodem, Water & Atmosfeer, BSc, Bodem, Water & Atmosfeer at Wageningen University & Research
Stedelijk Gymnasium
Master of Science (M.Sc.), Earth & Environment (specialisatie in Hydrologie), Master of Science (M.Sc.), Earth & Environment (specialisatie in Hydrologie) at Wageningen Universiteit en Researchcentrum
Dutch, English
Github Skills (77)
python10
netcdf10
dask10
qgis9
pandas9
mesh9
geopandas9
salib9
sphinx-doc9
h39
pydata9
uncertainty9
image9
bootstrap9
unstructured9
Programming languages (9)
TypeScriptShellRustBatchfileVueRoffRich Text FormatPython
Contributions:4 reviews, 171 commits, 23 PRs in 1 year 2 months
groundwaterqgis-pluginimod3d-viewermodflow
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