Research focuses on computational and field agronomy, combining machine learning, UAV phenotyping, and soil biogeochemistry to design and evaluate cropping systems. Integrates genomics/bioinformatics to study stress responses, linking management to yield, carbon, water, and greenhouse gas outcomes.