Focuses on quantitative genetics and physiology of C4 crops, connecting leaf anatomy, stomatal dynamics and carbon allocation to water‑use efficiency and yield. Uses genomics, transcriptomics and machine learning to guide breeding for resilience and bioenergy feedstocks.