Marijn Van Der Meer

Doctoral Student at ETH Zürich

Zurich, Zurich, Switzerland
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Summary

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Marijn Van Der Meer is a doctoral student and applied machine learning researcher at ETH Zürich with nine years of experience bringing ML to geoscience problems, particularly glacier modeling and surface mass balance emulation. Trained at EPFL (MSc Data Science) with an exchange at ETH, he blends rigorous data-science methods and nonlinear dimension reduction techniques to study the cryosphere and stratospheric dynamics. His work spans academic research, industrial ML operations, and open-source development (notably on the MassBalanceMachine), demonstrating an ability to move models from theory to usable emulators. Beyond technical depth in deep learning and spectral methods, he has a track record of leadership in student organizations and science communication, reflecting a commitment to applying digital data for societal and environmental impact.
code9 years of coding experience
job2 years of employment as a software developer
bookMaster's degree, Data Science, Master's degree, Data Science at EPFL (École polytechnique fédérale de Lausanne)
bookExchange year in Computer Science, Exchange year in Computer Science at ETH Zurich
languagesEnglish, German, Dutch, French, German
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11reputation
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0answers
1question
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Github Skills (12)

roi9
machine-learning8
image-analysis6
geospatial6
python6
r6
image6
image-processing5
nodejs5
javascript4
convolution4
manipulation4

Programming languages (5)

TeXJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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Contributions:162 commits, 5 PRs, 131 pushes in 9 months
Contributions:4 releases, 79 commits, 35 pushes in 10 months
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Marijn Van Der Meer - Doctoral Student at ETH Zürich