Areas of Interest
Flow & Transport
Dynamic soil properties, such aggregation and disaggregation cycles and tilagge, and associated effects on flow and tranport in soils.
Machine Learning & AI
Physics-informed Neural Networks for modeling soil water dynamics and application of Machine Learning in soil and environmental problems.
Physical factors that control biogeochemical processes including effects of soil structure and wetting-drying cycles on soil respiration.
Conservation tillage, inter-cropping of native shrubs and food crops, and applications of organic amendments on water and nutrient use efficiency.
For Prospective Students
Like what you see here? We would love to hear from you if you have interest to join our lab as a student or to collaborate with us. You can find out about admission and degree requirements and offerings by visiting the websites of the Graduate Division and Environmental Systems Graduate Program (links are below).