Qidi Yang

Qidi Yang is a highly skilled computational biologist with extensive experience in tumor genomics and bioinformatics. Currently at Tempus AI as a Computational Biologist II, Qidi Yang has contributed to the development of a Snakemake workflow for identifying HLA Class I allele loss of heterozygosity in cancer patients, designed validation studies for an FDA-designated diagnostic device, and improved HLA genotyping accuracy. Qidi Yang's expertise includes creating workflows for RNA-seq assays and publishing research on HLA loss of heterozygosity. Prior experience includes bioinformatics internships at Helomics and WeGene, and research assistant positions at Carnegie Mellon University and the University of Rochester Medical Center. Qidi Yang holds a Master of Science in Computational Biology from Carnegie Mellon University and a Bachelor of Science in the same field from the University of Rochester.