Murat has experience in developing & implementing scalable methods related to electronic & vibrational structure of molecules & extended systems. He has interest in applying deep learning methods for accurate calculations of thermochemical properties.
Marta García has a background in computational fluid dynamics (CFD). Her research interests focus on CFD, high-performance computing, neuroscience, decision-making strategies, project management and training.
James specializes in quantum field theory and lattice simulation methods, with an emphasis on lattice QCD. He also has interests in quantum computing, HPC, sparse linear algebra, applying ML methods to Hybrid Monte Carlo, and random matrix theory.