Microbial communities are among the main driving forces of human, soil and plant health. To understand the connection between microbial interaction networks and human or plant features, we have translated into Julia a Bayesian network regression model originally developed on brain connectome data. We aim to create a Julia package to extend this model to the microbiome, to identify relationships between the overall network structure of the microbiome and human, soil or plant response variables.
Samuel Ozminkowski is a M.S. student in Statistics at the University of Wisconsin-Madison, in the Solis-Lemus lab. His work is focused on using Bayesian models with network predictors, specifically focusing on microbiome networks. He earned his undergraduate degree in Computer Science at the University of Michigan.