Katarzyna Lewińska

Postdoctoral Researcher at Humboldt-Universität zu Berlin

Berlin, Germany
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Summary

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Senior
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Top School
Katarzyna Lewińska is a remote sensing scientist and postdoctoral researcher with nine years of experience leveraging satellite time series to study ecosystem and climate dynamics, currently based at Humboldt-Universität zu Berlin and affiliated with the University of Wisconsin-Madison. Her expertise centers on optical satellite big-data workflows—transitioning from IDL/ENVI to Google Earth Engine and more recently integrating the FORCE processing engine with R and Python pipelines—to quantify shifts in grassland ground cover fractions and their meteorological drivers. She has applied machine learning classification to agricultural and extensively managed ecosystems and contributed to projects funded by the European Commission, NASA, and DFG. Comfortable working across academia and industry, Katarzyna blends rigorous field- and theory-driven research with production-ready EO processing practices, often optimizing pre-processing control to enable reproducible, large-scale analyses. An investigator who moves fluidly between research institutions and private partners across Europe and the US, she pairs technical depth with collaborative project delivery.
code10 years of coding experience
job6 years of employment as a software developer
bookDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Technische Universität Graz
bookMaster's degree, Master's degree at University of Warsaw
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Github Skills (18)

autocorrelation7
temporal5
data-stream4
regression4
data-processing4
agriculture3
monitoring3
big-data3
machine-learning2
python2
earth-observation2
docker1
docker-image1
hydrogen1
buildkit1

Programming languages (5)

DockerfileRCJupyter NotebookPython

Github contributions (5)

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Contributions:17 commits, 13 pushes, 1 branch in 3 years 2 months
Contributions:56 pushes in 2 years 9 months
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