Principal Geochemist, CEO
Xiang brings extensive research experience in knowledge-guided machine learning, hydrological modelling, and spatial data automation to MineraLogic. He specializes in applying these methods to earth science systems. He received an M.S. (PhD in progress) in Water Resources Science (major) and Computer Science (minor) from University of Minnesota Twin Cities. As an environmental data scientist at Mineralogic, his skillsets and knowledge are helping our team develop machine learning and other computational products to glean data-centric insight for our clients.