Xiaojun Liu works as a physical scientist at Geological Survey of Canada, Natural Resources Canada. He completed his PhD studies atTongji University in 2007. Before joining GSC, he worked as a Post-Doctoral Researcher at University of Utah between 2008 and 2013. He combines geoscience modelling and inversion expertise. He is currently focusing on machine learning applications to support geothermal, critical mineral, and CCUS projects of Geological Survey of Canada. Key subjects include segmentation of SEM and satellite images for fracture and lineament identification, magnetotelluric inversion algorithms with deep learning frameworks and mineral composition determination using well logs and core geochemical analysis. He has published more than 20 research and review papers in various journals.