Clara Stanschewski is a postdoctoral researcher developing genomics-assisted breeding tools for quinoa, including the first genomic prediction pipelines for the crop. Her current work combines genomic selection (statistical and machine learning models), GWAS, experimental design, and high-throughput phenotyping to accelerate breeding decisions.

This builds on her PhD in the Salt Lab with Prof. Mark Tester at KAUST on the domestication and adaptation of Chenopodium quinoa for marginal environments, where she designed and led field trials providing the first characterization of salinity responses in mature plants across a large diversity panel, coordinated an international consensus on phenotyping protocols and established a shared data repository for the global quinoa community.