Dr. Lijing Wang is a postdoctoral fellow in the Earth & Environmental Sciences Area at Lawrence Berkeley National Laboratory. Her research focuses on combining geoscientific data, including geophysical surveys and in-situ hydrologic measurement, and hydrologic modeling to provide informed solutions for water resource management. She develops data integration and model calibration methods that are customized for the real-world water system at hand, and also broadly scaled up to water systems with spatiotemporally varying and uncertain geology, geochemistry, hydrology, and climate conditions. Her expertise includes geostatistics, uncertainty quantification, sensitivity analysis, and Bayesian inference for geological and hydrologic models.
Lijing has worked on various hydrologic sites such as palaeovalley mapping in South Australia, beaver-induced floodplains in Colorado, redox structure mapping in Jutland, Denmark, and climate resilience analysis for groundwater contamination in Savannah River Site, South Carolina. She is also passionate about teaching data science methods to geoscience audiences and the broader scientific community with real earth science studies (i.e. natural hazards, climate change, earth resources) and interactive Python notebooks. She is the leading author of the book: “Data Science for the Geosciences” by Cambridge University Press, 2023.