Qingguo Wang's research expertise is in the interdisciplinary field of Computer Science, Computational Biology, and Cancer Genomics. Before joining Lipscomb University, Wang was a Computational Engineer III at Memorial Sloan Kettering Cancer Center (MSKCC), where he contributed to many scientific projects, including The Cancer Genome Atlas Project (TCGA) and TARGET Project, a collaborative study of pediatric cancer. Before moving to MSKCC,Wang was a postdoctoral fellow at Vanderbilt University, where he focused on analyzing next generation sequencing (NGS) data of cancer patients and developing new tools for processing sequencing data. Wang created several computational tools at Vanderbilt, such as VirusFinder and NGS Catalog database. VirusFinder is the first fully automatic software for characterizing integration sites of undiagnosed viruses of arbitrary types through NGS data.
Before pursuing his postdoctoral training, Wang was a Ph.D. student in Computer Science at the University of Missouri, working primarily on machine-learning algorithms for predicting and evaluating protein 3D structures. The algorithms he developed for protein 3D structure prediction and selection helped our Missouri team win the top honors in the international 9th CASP (Critical Assessment of Techniques for Protein Structure Prediction) competition.