معرفی
Runzi Wang is an Assistant Professor in the Department of Landscape Architecture + Environmental Design at the University of California, Davis. Their research focuses on transdisciplinary approaches to urban and agricultural watershed management, integrating machine learning, GIS, and social science methods. Key areas include water quality modeling, green infrastructure design, and the impacts of climate change on ecosystems.
Education:
- Ph.D. in Planning, Design and Construction, Michigan State University (2020)
- Master of Science in Landscape Architecture, Peking University (2013)
- Bachelor of Engineering in Architecture, Shandong University (2011)
Research Interests: Dr. Wang's work spans three core themes: (1) large-scale water quality modeling using big data and ML; (2) green stormwater infrastructure design to mitigate urban runoff; (3) analyzing interactions between urbanization, agriculture, and climate change on water ecosystems. Recent projects include causal inference studies on water quality and equity analyses of urban green spaces using Bayesian quantile regression.
Publications Trends: Recent articles emphasize geospatial AI, environmental justice in water quality, and causal modeling of anthropogenic impacts. Notable work includes PFAS prediction frameworks and E. coli dynamics under extreme rainfall.
Grants & Labs: While specific grants aren't listed, their research often involves collaborative projects on environmental systems. Active engagement with interdisciplinary teams addresses real-world challenges in landscape design and environmental planning.
