Carl Shneider is an Associate Researcher and PhD astrophysicist based in Luxembourg with over a decade of experience applying physics, mathematics, big data analytics, and AI to space and life-science problems. He has led and contributed to high-impact projects—from super-resolution solar magnetism with NASA Frontier Development Lab to forecasting geomagnetic events at the University of Luxembourg—bridging domain science and production-ready machine learning. Comfortable across the stack of scientific tooling (Python, TensorFlow/PyTorch, HPC, Git) and statistical methods, he translates complex physical models into efficient, data-driven solutions. A frequent presenter and invited thought leader in space-weather and heliophysics forums, he also has interdisciplinary experience in genomics and medical imaging, reflecting a knack for adapting ML to diverse, high-stakes datasets.
10 years of coding experience
12 years of employment as a software developer
Master of Advanced Study (MASt), Part III of the Mathematical Tripos, Astronomy and Astrophysics, Master of Advanced Study (MASt), Part III of the Mathematical Tripos, Astronomy and Astrophysics at University of Cambridge
Doctor of Philosophy - PhD, Astronomy and Astrophysics, Doctor of Philosophy - PhD, Astronomy and Astrophysics at Leiden University
Master of Science (MSc), Theoretical Physics, Master of Science (MSc), Theoretical Physics at Utrecht University
Master of Science (MSc), Applied Mathematics, Master of Science (MSc), Applied Mathematics at Rensselaer Polytechnic Institute
Exchange student, ETH scholarship, Physics and Mathematics, Exchange student, ETH scholarship, Physics and Mathematics at ETH Zürich
International Baccalaureate Diploma, Summa Cum Laude, International Baccalaureate Diploma, Summa Cum Laude at International Baccalaureate
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