Prof. Borenstein’s work focuses on computational study of the human microbiome, spearheading research in microbiome systems biology, modeling, and design. His group develops computational methods inspired by metabolic modeling, data science, machine learning, and network theory to model the microbiome and to analyze high-dimensional multi-omic microbiome data.
Prof. Borenstein is the recipient of various prestigious awards including the Alfred P. Sloan Fellowship and the NIH New Innovator Award.