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.
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 Economics
PhD studies, Biophysics, PhD studies, Biophysics at Eötvös Loránd Tudományegyetem
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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