Przemysław Juda

Scientific Developer at Federal Office of Meteorology and Climatology MeteoSwiss

Minusio, Ticino, Switzerland
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Summary

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Senior
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Top School
Przemysław Juda is a scientific developer and PhD-trained hydrogeologist with eight years of experience blending computational science, mathematical modelling and scientific software engineering. He combines an EPFL MSc in Computational Science & Engineering and a strong physics background with hands-on R&D at institutions including MeteoSwiss, University of Neuchâtel and CERN. His work spans stochastic hydrogeology, high-performance simulation, and data postprocessing—skills honed by developing C++ libraries and Linux-cluster workflows for plasma and vacuum simulations. Comfortable moving between research and production, he has delivered measurable experimental improvements (e.g., vacuum gauge sensitivity gains) and production-grade tools for modelling and climate applications. Based in Minusio, Ticino, he brings a methodical, physics-informed approach to complex environmental and atmospheric problems, often finding practical optimizations that go beyond standard modelling recipes.
code8 years of coding experience
bookInżynier (equivalent to Bachelor), Applied Physics (Fizyka Techniczna), Inżynier (equivalent to Bachelor), Applied Physics (Fizyka Techniczna) at Wroclaw University of Science and Technology
bookMaster of Science - MSc, Computational Science and Engineering, Master of Science - MSc, Computational Science and Engineering at Ecole polytechnique fédérale de Lausanne
bookDoctor of Philosophy - PhD, Hydrogeology, Doctor of Philosophy - PhD, Hydrogeology at Université de Neuchâtel
languagesPolish, English, French, German, Italian
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Github Skills (24)

complex8
toolbox8
binary-search7
inverse7
statistics7
sampling6
game-theory6
validation-framework6
cross-validation5
inverse-problems5
agent-based-modeling4
simulations4
validation4
gis3
atmosphere3

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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randlab/PoPEx

Mar 2020 - Feb 2022

Parallelized Adaptive Importance Sampling for Solving Inverse Problems
Contributions:1 release, 3 PRs, 19 pushes in 1 year 11 months
solvingimportanceadaptiveinverse-problemsproblems
UniNE-CHYN/mps_toolbox

May 2018 - Oct 2021

Toolbox for multiple-point statistics
Contributions:1 release, 160 commits, 31 PRs in 3 years 5 months
statisticstoolboxpointmultiple-point-statistics
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Przemysław Juda - Scientific Developer at Federal Office of Meteorology and Climatology MeteoSwiss