New Member Prof. Dr. Luca Ghiringhelli

Welcome to the newest FAU EAM member Prof. Dr. Luca Ghiringhelli

Since October 2023, Luca M. Ghiringhelli is professor for “Data-based Materials Modelling” at Friedrich-Alexander-Universität Erlangen-Nürnberg. He holds an M.Sc. in nuclear engineering from the Politecnico (Technical University) of Milano and a Ph.D. in natural sciences from the University of Amsterdam. After leading the group “Big-Data analytics for Materials Science” in the NOMAD Laboratory at the Fritz Haber Institute in Berlin, he moved to the at Humboldt University in Berlin as group leader for the “Theory and Computation” area in the FAIRmat NFDI consortium, which is building a FAIR-data infrastructure for the materials science data. 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. His current research interest is in the development and application of methods based on compressed sensing, symbolic regression, subgroup discovery, and deep learning to the data-driven modeling in materials science. His focus is on methods that yield interpretable models and can cope with “small data” for training. He also leads the development of the hierarchical, extensible, and interoperable metadata infrastructure in the FAIRmat NFDI consortium.

Homepage of the Data-based Materials Modelling Group:
https://www.iznf.fau.de/institute/data-based-materials-design/