Dr. Shaojun Tang joined ICBI in January 2016. His research primarily focuses on the development of tools and methods for the analysis of cancer immunotherapy data, including breast cancer and melanoma datasets. Dr. Tang is also interested in the study of multi-'omics' data using various machine learning tools. Further areas of substantive interest include splicing analysis, biomarker discovery and health informatics data mining.
Before joining Georgetown University, Dr. Tang was a Staff Scientist at Boston Children's Hospital and Harvard Medical School, where he developed several widely used tools to analyze high-throughput data from proteomics and integrated proteogenomics studies. For example, he developed a non-parametric tool to identify differentially expressed genes in microarray, RNA-Seq and proteomics datasets. In the meantime, he conducted a series of studies to find protein biomarkers associated with various diseases. He also built a machine learning classifier to categorize different neurodegenerative diseases using phosphoproteomics. Dr. Tang led the project to characterize ncRNA regulation and translation on Spinal Muscular Atrophy using proteogenomics data.
Dr. Tang holds a Ph.D. in Bioinformatics and a M.Sc. in Computer Engineering from the University of Florida, College of Medicine and College of Engineering, respectively. He did his undergraduate study at Sun Yat-sen University and the National University of Singapore.
To view a complete list of his publications, click here.
Innovation Center for Biomedical Informatics (ICBI)
Department of Oncology | Georgetown University Medical Center