Lijing Wang
Assistant Professor
I’m a geostatistician and hydrogeologist specializing in integrating hydrologic modeling and multiscale datasets, such as geophysical surveys and in-situ hydrologic measurements. My research explores the impacts of various uncertain factors, from bedrock to canopy to climate disturbances, on watersheds and aquifers. I also develop machine learning and Bayesian inference methods to calibrate hydrologic models and quantify their uncertainty. Additionally, I’m committed to teaching data science to geoscientists, showcased in our new textbook, “Data Science for the Geosciences,” published by Cambridge University Press.
Education
- Ph.D.: Geological Sciences at Stanford University, minor in Computer Science
- B.S.: Space Physics and Applied Mathematics at Peking University
Publications
