Summary
Jozef Genzor is a computational physicist and postdoctoral researcher with 10 years of experience developing high-performance numerical algorithms using tensor networks, with applied interests in machine learning and quantum computation. Based at the National Center for Theoretical Sciences in New Taipei, he combines deep theoretical training (PhD in General and Mathematical Physics) with practical coding skills to tackle large-scale simulations. His work bridges advanced numerical methods and ML-driven approaches, yielding impactful publications and successful computational projects. Colleagues know him for strong analytical problem-solving and for squeezing performance from compute stacks in research settings. Beyond publications, he brings a curiosity for translating abstract quantum models into efficient, reproducible code—often exploring nonobvious optimizations that accelerate research workflows.
10 years of coding experience
Master's degree, Theoretical physics, Master's degree, Theoretical physics at Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava
Doctor of Philosophy (PhD), General Physics and Mathematical Physics, Doctor of Philosophy (PhD), General Physics and Mathematical Physics at Research Center for Quantum Information, Institute of Physics, Slovak Academy of Sciences
English