Yong graduated from University of Texas Southwestern Medical Center at Dallas with a Ph.D. degree of Bioinformatics. His Ph.D. research developed an algorithm for remote protein homology detection, which is the first step of protein structure and function prediction. Yong then joined the Human Genome Sequencing Center at Baylor College of Medicine and was the leading analyst of TCGA and 1000 Genomes Projects. His postdoc research from 2011 to 2017 at MD Anderson Cancer Center was focused on single-cell analysis. Yong developed a single-cell DNA sequencing method called Nuc-Seq that can cover over 90% of the whole genome of a mammalian cell at 60X coverage depth. He also developed a computational algorithm called Monovar to mitigate technical errors in single-cell datasets and further improve the accuracy of single-cell sequencing. Yong then became an assistant professor at the University of Wisconsin – Madison and built a lab that investigated the association between tissue mosaic genomic mutations and tumor initiation in breast cancer. He joined Celgene/BMS two years ago. His work here includes developing data analysis workflows for novel sequencing technologies such as single-cell sequencing and spatial sequencing, collaborating with early discovery groups to advance the applications of these technologies in identifying novel targets and collaborating with translational research groups to exam their impact in patient stratification.