Genetic improvements are environmentally friendly and sustainable solutions to enhance food production. Prior to gene editing, the conventional methods rely on either selection pressure by phenotyping a large number of individuals, or selection accuracy by mapping the responsible genes or using genomic selection. My research interests include: 1) high throughput phenotyping by using hyperspectral images and remote sensing images from satellites and drones; 2) the development of innovative statistical methods and computing tools for gene mapping and genomic selection; 3) integration of high throughput genotyping, statistics, and machine learning to solve problems in plant breeding.