Dr. Rahnavard advances AI/ML for uncovering biological insights from omics data, with a focus on multimodal AI agents and microbiome-metabolome interactions in health and disease. His research emphasizes metabolite and microbiome dynamics during disease progression, integrating systems biology and computational methods to generate testable hypotheses for diagnostic and therapeutic applications.
PostDoc Associate in Computational Biology and Microbiome, 2018
Department of Biostatistics - Harvard T.H. Chan School of Public Health
PostDoc Associate in Computational Biology and Microbiome, 2018
Infectious Disease and Microbiome Program - The Broad Institute of MIT and Harvard
PhD in Computer Science, Bioinformatics, Applied Statistics, 2014
New Mexico State University
MS in in Computer Science, Bioinformatics, 2013
New Mexico State University
MS in Computer Engineering, 2005
Shiraz University
MS in Computer Engineering, 2003
Razi University of Kermanshah