Gijs Vermariën is a Dutch PhD candidate and research intern specializing in machine learning applications for astrochemistry, combining scientific ML, interpretable AI, and high-performance simulation work. He leads development of the open-source astrochemical simulation framework UCLCHEM and recently joined SURF’s High Performance Machine Learning team via the SURF-Intel AI4Science award to build hydrodynamical astrochemical autocomputors. With eight years of research and teaching experience across Leiden, TU Eindhoven and industry, he has applied graph neural networks to neutrino classification and worked on gravitational-wave simulation and differential-equation discovery. Comfortable moving between code, pedagogy and research, he designs hybrid classical–ML solvers and surrogate models to accelerate scientific simulations while emphasizing explainability. An uncommon asset is his track record of maintaining and growing a community-facing scientific codebase while conducting cutting-edge PhD research.
8 years of coding experience
2 years of employment as a software developer
Cambridge Advanced English, B, Cambridge Advanced English, B at University of Cambridge
VWO, Natuur en techniek, VWO, Natuur en techniek at Lorentz Casimir Lyceum
Contributions:4 releases, 8 reviews, 20 commits in 7 months
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