Yves Bernaerts

Postdoctoral Researcher at Innerfire

Cascais, Portugal
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Summary

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Senior
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Top School
Yves Bernaerts is a computational neural scientist and Postdoctoral Researcher with eight years of experience bridging computational neuroscience research and practical instruction in physiological methods. Based at Cascais and holding a PhD (Magna cum laude) from the University of Tübingen, he has produced rigorous work in Berenslab and continues research at the Champalimaud Foundation. He combines deep quantitative skills from physics, biophysics and computational modeling with hands-on teaching as a certified Wim Hof Method instructor, applying breathwork and cold exposure insights to human physiology and mindset. Yves’s background in project management and interdisciplinary training enables him to translate complex neural models into testable experiments and real-world practices.
code8 years of coding experience
bookBachelor's degree, Physics, Bachelor's degree, Physics at KU Leuven
bookMaster’s Degree, Biophysics, Biochemistry and Biotechnology, Master’s Degree, Biophysics, Biochemistry and Biotechnology at University of Leuven
bookDoctor of Philosophy - PhD, Computational Neuroscience, Magna cum laude, Doctor of Philosophy - PhD, Computational Neuroscience, Magna cum laude at University of Tübingen
languagesDutch, English, German, French, Latin, Portuguese
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Github Skills (22)

parameter-estimation9
bayesian-inference8
glow8
simulation8
pytorch7
variational-autoencoder7
machine-learning7
density-estimation7
electrophysiology6
python6
neuroscience5
inference5
statistics5
computational-neuroscience5
neurons4

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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berenslab/hh_sbi

Mar 2023 - May 2025

Contributions:1 release, 5 PRs, 71 pushes in 2 years 2 months
ybernaerts/ybernaerts

Apr 2021 - Nov 2025

Contributions:11 pushes, 1 branch in 4 years 8 months
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