Evgenii Chaikin is a postdoctoral researcher at Leiden University with nine years of experience building large cosmological hydrodynamical simulations that probe galaxy formation and feedback from stars and supermassive black holes. He combines deep expertise in SPH gas hydrodynamics and computational programming with practical skills in big data analysis and machine learning to extract physical insight from simulation outputs. Transitioning from a PhD at Leiden to his current postdoctoral role, he focuses on coupling physical models with scalable code and analysis pipelines. Based in Leidschendam, he applies ML techniques not just for classification but to accelerate and interpret complex simulation datasets, bridging theoretical astrophysics and data-driven methods.
9 years of coding experience
Master's degree, Astronomy, Master's degree, Astronomy at Rheinische Friedrich-Wilhelms-Universität Bonn
Pipeline for rapidly analysing SWIFT simulation outputs, using swiftsimio and velociraptor-python
Contributions:12 reviews, 7 PRs, 9 pushes in 1 year 11 months
pythonpipelineoutputsvelociraptorsimulation
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Evgenii Chaikin - Postdoctoraal Onderzoeker at Universiteit Leiden