Claudia Scatigno is a CREF researcher specializing in experimental physics and analytical chemistry. Her current research focuses on material characterization using advanced spectroscopic techniques integrated with machine learning and deep learning methods. These techniques encompass inelastic neutron scattering (INS), Fourier transform infrared spectroscopy, Raman spectroscopy, X-ray fluorescence, hyperspectral spectroscopy, ion chromatography, microclimate monitoring, X-ray diffraction, and petrographic–mineralogical analysis. From 2017 to 2020, Claudia led significant experimental physics projects, including inelastic neutron vibrational spectroscopy to study calibration curves. She was crucial in an international research group developing the “VESPA” neutron beamline at the European Spallation Source. Her responsibilities included establishing the instrumental sensitivity of INS machines, determining detection and quantification limits, and performing statistical analysis of vibrational spectra. Claudia is a referee for ten international journals and has authored over 40 papers in prestigious international journals. She is a guest editor for Crystal: Archaeological Crystalline Materials, Applied Sciences: Application of Chemometrics and Machine Learning in Cultural Heritage Analysis’, Frontiers in Materials: Machine Learning’s Role in Unravelling the Complexities of Cultural Heritage Material , Polymers: Spectroscopy for Polymer Materials Characterization. Additionally, she is a member of the Topical Advisory Panel of the journal “Computing and Artificial Intelligence. From 2024 Claudia is scientific reviewer for the Australian Centre for Neutron Scattering & National Deuteration Facility.