Research Areas
Investigating fundamental soil physics processes and developing innovative approaches combining physical principles with machine learning
Physics-Informed Machine Learning
Developing novel neural network approaches that incorporate physical laws and constraints to model soil water dynamics, predict hydraulic properties, and solve inverse problems in soil physics.
Learn More →
Water Flow & Hydraulic Properties
Characterizing and modeling water movement in unsaturated soils, from measurement techniques to advanced numerical simulations of infiltration, redistribution, and evaporation processes.
Learn More →
Rhizosphere Processes
Understanding root-soil interactions, hydraulic redistribution, nutrient uptake dynamics, and how plants modify soil properties through exudation and physical modifications.
Learn More →
Soil Structure & Aggregation
Investigating aggregate formation and stability, carbon distribution in soil fractions, and the physical mechanisms controlling soil structure development and carbon sequestration.
Learn More →
Sustainable Agriculture
Evaluating conservation practices including cover cropping, reduced tillage, and organic amendments to enhance soil health, water efficiency, and agricultural sustainability.
Learn More →Interested in Our Research?
Explore our publications to learn more about our findings, or meet our team to see who's driving this research forward.
