Ali Rahnavard is an assistant professor of Biostatistics and Bioinformatics at George Washington University. Dr. Rahnavard is interested in developing and applying AI/ML to infer biology from omics data. Particularly he inevestiage application of the intersection of the microbiome and metabolome for understanding their interactions in health and disease. Since the metabolome is the interface mediating this interaction, he primarily investigates metabolite and microbiome changes over the course of disease. His lab uses systems-biology-based approaches, applying computational methods to multi-omic data with the goal of generating hypotheses of the underlying processes involved in disease activity. These hypotheses with strong evidence in measured data are suitable for testing in a laboratory and translation into actionable diagnostics and therapeutics.