Her authority to speak on these issues comes from both depth and breadth. She has spent years working with cereal crops in both field and greenhouse conditions, studying resistance to heat, disease, and abiotic stress. Her expertise spans the technical processes of cross-making, phenotyping, and speed breeding, as well as molecular techniques such as DNA and RNA analysis. Among these, she has applied qRT-PCR, a method that measures how genes are expressed in real time, to identify which genes help crops resist stress. She has also used enzyme activity assays to study how plants respond under challenging environments. Just as importantly, she is equally fluent in computational tools, applying R, Python, and bioinformatics pipelines to analyze genetic variation and predict outcomes. This combination of experimental and digital fluency has enabled her to contribute widely across plant breeding, molecular biology, bioinformatics, and AI-driven agriculture.
