Fu Jiaqi

Organized and open-minded candidate with expertise in effectively managing multiple priorities and maintaining a positive attitude. Demonstrated success in problem-solving within scientific contexts, showcasing a strong willingness to tackle complex challenges head-on.

• Genetic landscape and genomic prediction of udder traits in dairy goats, second author, Journal of Integrative Agriculture (JIA), under review, Sample-collecting in goat farm; calculation machine learning methods to predict phenotypic observations
• Genome-wide association study of body size phenotype in Shannbei white cashmere goat based on resequencing, first author, Master's thesis
• A machine learning-based method for predicting translation start sites in livestock genomes, first author, Undergraduate Thesis