The goal of the event is to foster the formation of new interdisciplinary collaborations that will generate creative strategies for addressing challenges associated with the visualization, modeling, and analysis of biomedical big data coming from the microbiome. The Lab is intended to bring together expertise from the mathematical, statistical, and biomedical fields, to address interdisciplinary topics in biomedical data science critical to the effective use of microbiome big data. Early-career investigators (Assistant/Associate Professors) from a broad diversity of quantitative (Mathematics, Statistics, Biostatistics and Computer Science) and biomedical (Behavioral, Biology, Clinical Science, Ecology, Microbiology) disciplines are highly encouraged to apply. The lab is open to any biomedical investigator who has research questions with an associated microbiome big data challenge or any quantitative investigator with relevant approaches and methodology to the analysis of microbiome big data. Selected participants will take part in a mentored, five-day workshop to form new interdisciplinary teams to tackle these data science challenges.