The lab of Agricultural, Natural and Human Systems Modeling develops and utilizes a variety of modeling approaches to better understand and manage water and agricultural resources. We focus on trans-disciplinary efforts to problem solving and work closely with colleagues from a broad range of disciplines including engineering, economics, entomology, physiology, statistics, and agronomy.

Research interests include:

• Modeling human and regulatory influence on natural systems
• Food-Water nexus and coupled crop-hydrology modeling
• Data assimilation/integration of satellite-imagery inputs into models
• Weather/climate risk assessment and management in crop production
• Decision support for regional-scale water and agricultural management
• Water markets and decision making