Lingxi Liu is a postdoctoral researcher within the European Research Council project ARTDETECT: A New Connoisseurship: Smart Ways to Detect Forgeries (ERC Consolidator Grant 101088056, 2024-2028) and project manager for the project CODES: COunterfeit DEtection: Validating the ARTDETECT approach with Stakeholders in the loop (ERC Proof of Concept Grant 101213262, 2025-2026). She specialized in the application of analytical imaging technologies and machine learning algorithms for the technical analysis of artworks, and has a primary research focus on detecting forgeries in the styles of modern painters.
She earned a bachelor of science degree in Material Science from the City University of Hong Kong in 2015 and a master of science degree in Conservation Science from the University of Bologna in 2020. In 2024, she completed her Ph.D. at the same university with a dissertation on Machine Learning for Cultural Heritage Conservation: Decoding the Past through Analysis of Hyperspectral Data. Lingxi has also held visiting doctoral and pre-doctoral fellowships at the Molecular and Structural Archaeology Laboratory (LAMS), Sorbonne University, Paris (2022–2023), and at the Center for Scientific Studies in the Arts, a collaboration between Northwestern University and the Art Institute of Chicago (2019).
