Gábor Závodszky

Assistant Professor at University of Amsterdam

Randstad, Netherlands
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Summary

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Gábor Závodszky is an IT physicist and assistant professor with over a decade of experience building high-performance, GPU-accelerated simulations for fluid dynamics and biomedical problems. He develops highly parallel solvers for biologically relevant flows, combining lattice Boltzmann methods and CUDA-level optimization to tackle hemodynamic and biophysics challenges. Active in both academia and industry, he has taught GPGPU programming and numerical simulation techniques while also delivering applied GPU solutions for companies like GE Healthcare and Knorr-Bremse. His PhD in Mechanical Engineering (summa cum laude) and background in biophysics give him a rare mix of rigorous theory and production-grade implementation skills. Based in the Randstad, he focuses on translating complex scientific questions into efficient, scalable code that runs on modern heterogeneous hardware.
code10 years of coding experience
job5 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Mechanical Engineering, Summa cum laude, Doctor of Philosophy (Ph.D.), Mechanical Engineering, Summa cum laude at Budapest University of Technology and Economics
bookPhD studies, Biophysics, PhD studies, Biophysics at Eötvös Loránd Tudományegyetem
languagesEnglish, Hungarian, French
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Stackoverflow

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159reputation
25kreached
2answers
0questions
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Github Skills (26)

simulation10
biomedical10
computational-science9
toolbox9
hpc9
high-performance9
science9
pattern8
macos6
environment-modules6
remote-desktop6
keymapping6
linux6
bash6
dsl6

Programming languages (4)

JuliaC++HaskellHTML

Github contributions (5)

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gzavo/CS_Assignment_old

Sep 2019 - Sep 2021

Contributions:3 commits, 1 push in 2 years
gzavo/CS_Assignment

Oct 2022 - Aug 2024

Minimalistic homework for the "Efficient toolbox of the Computational Scientist" lecture.
Contributions:125 PRs, 3 pushes, 1 branch in 1 year 10 months
toolboxminimalisticcomputationalscientist
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