Summary
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.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at EPFL (École polytechnique fédérale de Lausanne)
Exchange year in Computer Science, Exchange year in Computer Science at ETH Zurich
English, German, Dutch, French, German