Gábor Závodszky
Assistant Professor at University of Amsterdam
Randstad, Netherlands
Summary
👤
Senior🎓
Top SchoolGábor 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.
10 years of coding experience
5 years of employment as a software developer
Doctor 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 EconomicsPhD studies, Biophysics, PhD studies, Biophysics at Eötvös Loránd Tudományegyetem
English, Hungarian, French
Github Skills (14)
hpc10
biomedical10
toolbox10
computational-science10
pattern8
dsl6
haskell4
live-coding4
firmware1
pattern-language1
opengl1
go1
visualization1
julia1
Programming languages (4)
Github contributions (5)
gzavo/CS_Assignment_old
Sep 2019 - Sep 2021
Contributions:3 commits, 1 push in 2 years
gzavo/CS_Assignment
Oct 2022 - Sep 2025
Minimalistic homework for the "Efficient toolbox of the Computational Scientist" lecture.
Contributions:125 PRs, 5 pushes, 1 branch in 2 years 11 months
toolboxminimalisticcomputationalscientist
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