I’m Lijing, currently a Postdoc Fellow at Lawrence Berkeley National Laboratory (LBNL), working in the Watershed Function SFA. I will be joining the Department of Earth Sciences at the University of Connecticut as an Assistant Professor in Fall 2024, focusing on integrating modeling and data in hydrology.

I am looking for 1-2 motivated Ph.D. students to join our group at UConn starting in Fall 2024. Please get more information in the Opportunities tab.

Fall 2024 applications are closed. We may have opportunities available for Fall 2025 applicants and undergraduate researchers. Please stay tuned for updates or email me if you would like to be considered in future projects!


  • Ph.D.: Geological Sciences at Stanford University, minor in Computer Science (2023)
  • B.S.: Space Physics and Applied Mathematics at Peking University (2017)
Lijing tTEM at Denmark
Lijing with tTEM (a towed, ground-based, transient electromagnetic system) in Denmark, Summer 2019

An overview of my research and teaching

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.