Dr. Johnson is a Professor of Medicine, Division of Infectious Diseases, and the Director of the Center for Data Science at Rutgers New Jersey Medical School. The Johnson Lab has a longstanding history of developing and applying methods and software for biomedical data analysis, particularly for applying genetics, genomics, and metagenomics data to solve problems in precision cancer therapy, infectious diseases/host response, and addiction research. One of their primary goals is to develop computational models and genomic biomarkers that accurately diagnose disease or determine optimal therapeutic regimens for individual patients. They have extensive experience and NIH funding for developing and applying statistical and computational methodologies for transcriptome, pathway, and biomarker analysis using bulk and single cell RNA-seq experiments. They have successfully applied our tools and methods in the context of pathogen detection, pathway profiling of host and microbial communities, and studying host/pathogen interactions in various contexts including human nutrition, food-borne pathogens, human respiratory diseases, vector-borne pathogen biosurveillance, and in chronic conditions such as cancer and obesity. In recent years, the Johnson Lab has had a strong focus to study the host/pathogen interface of tuberculosis (TB) and other infectious diseases, especially focusing on innate and adaptive immunity and biomarker development.