Shuyu Chang

Assistant Professor

As a computational hydrologist, my research seeks to better understand and predict the interactions between hydrology and biogeochemistry, guided by the overarching question: How can we strategically manage our landscapes to improve water resources in a rapidly changing world? I integrate large-scale datasets, process-based models, and AI to quantify the impacts of environmental change and human activities on water systems. My current research focuses on (1) large-scale water quality prediction, (2) data-driven understanding of river temperature regimes, and (3) watershed restoration and its impacts on hydrology and water quality.

Education

• Ph.D.: Geography at Penn State University
• M.S.E.: Water Resources Engineering at Johns Hopkins University
• B.S.: Hydraulic Engineering at China Agricultural University

Courses

• ERTH 2150: Programming for Earth and Environmental Science
• ERTH 2050W: Communicating Earth and Environmental Science

Publications

• Google Scholar