Summary
Abel Carreras is a computational chemist and research collaborator with 12+ years of experience developing scientific software for molecular dynamics, phonon analysis, excited-state electronic structure, and quantum chemistry for quantum computers. Trained as a theoretical chemist (PhD, Universitat de Barcelona), he has a track record of building open-source tools—plugins for AiiDA, phonopy and LAMMPS integrations, and the cosymlib symmetry library—and automating workflows for machine-learning-ready materials data. His work spans molecular rotors and flexible-molecule dynamics to phonon anharmonicity and post–Hartree–Fock excited-state analysis, blending deep theory with pragmatic coding (notably a Python tool for extracting anharmonic phonon frequencies and linewidths). Recently he led quantum-chemistry algorithm development at Multiverse Computing and now implements Sample-based Quantum Diagonalization (SQD) at DIPC, combining tensor-network and quantum computing techniques. Colleagues value him for translating complex theoretical methods into robust, well-documented open-source software that accelerates reproducible computational research.
11 years of coding experience
11 years of employment as a software developer
PhD in Chemistry, Theoretical Chemistry, PhD in Chemistry, Theoretical Chemistry at Universitat de Barcelona
Catalan, English, Spanish, Japanese