Tomas Fiers

Postdoctoral Researcher In Computational Neuroscience Neuroinformatics

Ghent, East Flanders, Belgium
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Summary

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Tomas Fiers is a computational neuroscience postdoctoral researcher based in Ghent with 11 years of engineering and research experience bridging signal processing, neuroinformatics, and biomedical engineering. After a PhD in computational neuroscience at the University of Nottingham and prior internships in signal processing and software engineering, he now focuses on building tools and analyses that translate neural data into interpretable models. His background in both computer science/electrical engineering and biomedical engineering gives him a rare fluency across hardware-aware signal processing and computational modeling. Tomas combines academic rigor with practical product-minded experience from startups and industry collaborations (imec, KU Leuven, VIB), and maintains a public portfolio of projects at tomasfiers.net. Colleagues describe him as someone who enjoys turning messy experimental data into reproducible, open workflows—often revealing insights that aren’t obvious from raw signals alone.
code11 years of coding experience
bookMSc, Biomedical engineering (burgerlijk ingenieur), MSc, Biomedical engineering (burgerlijk ingenieur) at KU Leuven
bookLatijn-Wiskunde, Latijn-Wiskunde at Scheppersinstituut Mechelen
languagesDutch, French, English
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Github Skills (200)

metadata10
localization10
julia10
automatic-differentiation10
jupyterlab-extension10
desktop10
command-line10
notebook10
programming-language10
python10
windows10
gtk10
githubactions10
docutils10
julialang10

Programming languages (14)

C#PowerShellCSSC++RustGoHTMLJupyter Notebook

Github contributions (5)

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Training spiking neural networks for sound localization
Contributions:3 reviews, 105 commits, 27 PRs in 10 months
spiking-neural-networksdeep-learningneural-networkstrainingspiking
tfiers/totex

Aug 2018 - Oct 2023

Contributions:60 pushes, 3 branches in 5 years 2 months
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