ZdenkoĀ Heyvaert
Scientist at European Centre for Medium-Range Weather Forecasts
Bonn, North Rhine-Westphalia, Germany
Summary
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Top SchoolZdenko Heyvaert is a scientist specializing in land surface remote sensing, modeling and data assimilation with nine years of experience spanning academia and operational meteorology. He completed a PhD at KU Leuven focused on assimilating soil moisture and vegetation observations to improve numerical weather prediction and has since joined ECMWF on an ESA-funded DANTEX initiative to assimilate infrared radiances sensitive to the land surface. His background in statistical data analysis and physics, together with hands-on roles at VITO and Ghent University, gives him a rare blend of rigorous statistical training and practical data-science implementation. A visiting researcher in Vienna and a history of work on climate-model extremes indicate a strong ability to translate theoretical methods into cross-institutional research impact.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Bioscience Engineering: Earth and Environmental Sciences, Doctor of Philosophy - PhD, Bioscience Engineering: Earth and Environmental Sciences at KU LeuvenMaster of Science, Statistical Data Analysis, Magna Cum Laude, Master of Science, Statistical Data Analysis, Magna Cum Laude at Ghent University
English, Dutch, French
Stackoverflow
95reputation
5kreached
0answers
4questions
Github Skills (13)
system-information7
legend6
machine-learning6
matrix6
ggplot6
plot6
colors6
gnuplot6
matplotlib6
classification6
gpflow6
pytorch1
deep-learning1
Programming languages (3)
Github contributions (5)
zdenkoheyvaert/LISF
Dec 2021 - Aug 2024
Land Information System Framework
Contributions:9 PRs, 41 pushes, 26 branches in 2 years 8 months
wpsland-information-systemansible-collectionssystem-informationland
zdenkoheyvaert/pylis
May 2024 - Sep 2024
Pre- and postprocessing tools for the NASA Land Information System (mainly python-based)
Contributions:16 pushes, 1 branch in 3 months
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