Andreas Athenodorou is an associate research scientist at the Computation-based Science & Technology Research Center (CaSToRC) of The Cyprus Institute. He holds a PhD in Theoretical Particle Physics from the University of Oxford (2004–2008) and has held postdoctoral positions at DESY Zeuthen, Swansea University, and the University of Cyprus. Prior to his current role, he was a Marie Sklodowska Curie Individual Fellow at the University of Pisa (2019–2021). He currently leads a work package in the NI4OS-Europe project. His research focuses on theoretical and computational aspects of particle physics, including lattice gauge theories, large-Nc limits, hadron structure, and beyond Standard Model physics. He specializes in applying high performance computing (HPC), data science, and machine learning to solve complex problems in quantum field theory. Notable areas include confinement dynamics via effective string theory, glueball spectroscopy, and topological susceptibility studies in QCD. His computational work spans lattice QCD simulations, development of reproducible open science workflows, and application of machine learning to phase transition analysis. He has contributed to understanding mass hierarchies in strongly-coupled systems and the neutron electric dipole moment using advanced simulation techniques. Key contributions include advancing effective string theory descriptions of flux tubes, analyzing Z_N gauge theories, and exploring β-function behaviors in SU(2) adjoint fermion systems. His work bridges fundamental theory with computational innovation, addressing both particle physics questions and methodological challenges in large-scale simulations.
