Dr. Luca M. Ghiringhelli

Dr Luca M. Ghiringhelli leads the group "Big-Data analytics for Materials Science" in the Novel Materials Discovery (NOMAD) Laboratory. Formerly, he has led the group "Ab initio statistical mechanics of cluster catalysis and corrosion" in the theory group at FHI. His background is in computational statistical mechanics and electronic structure methods, applied to the evaluation of thermodynamic and kinetic properties of bulk materials, surfaces, and nano-clusters. Within the NOMAD Lab, he leads the development and application of methods based on compressed sensing, symbolic regression, subgroup discovery, and deep learning to the modelling of big data in materials science. His focus is on methods that yield interpretable models and can cope with "small data" for training. He also co-led the development of the hierarchical and extensible metadata infrastructure for the NOMAD Lab.