Ramón Panadés-barrueta is a software engineer with a PhD in physics and nine years of experience building high-performance scientific software for quantum computing and computational chemistry. He blends production-grade development in C/C++, Python, Julia and Fortran with deep HPC expertise—CUDA, HIP, OpenMP, MPI and (Sca)LAPACK—to deliver low-scaling many-body algorithms and exascale-ready code. Previously he developed GW-based spectroscopy methods integrated into FHI-aims and contributed QMC and tensor-network work for TREX and NOMAD CoEs; today he implements hybrid quantum-classical tensor-network algorithms at Algorithmiq. Comfortable thinking functionally (Lisp) and experimenting with array languages (BQN), he favors reproducible, declarative workflows on NixOS. Colleagues describe him as a computational scientist who effortlessly translates advanced numerical theory—tensor decompositions and optimization for nuclear quantum dynamics—into high-performance, maintainable code.
9 years of coding experience
3 years of employment as a software developer
BSc in Radiochemistry, Nuclear Chemistry, Summa Cum Laude, BSc in Radiochemistry, Nuclear Chemistry, Summa Cum Laude at University of Havana
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Université de Lille
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Ramón Panadés-barrueta - Software Engineer at Algorithmiq