Elhanan Borenstein is an associate professor of Genome Sciences at the University of Washington, with an adjunct position in the Department of Computer Science and engineering. He is also an external professor at the Santa Fe Institute for complexity science. Dr. Borenstein received his PhD in computer science from Tel-Aviv University, Israel, and held a joint postdoctoral fellowship at the Department of Biology in Stanford and at the Santa Fe Institute. He also has extensive professional experience in the hi-tech industry, where he held top management positions in several hi-tech companies.
Dr. Borenstein integrates metagenomic data with methods inspired by systems biology, in-silico modeling, network theory, machine-learning, and statistical inference to develop a variety of computational frameworks for studying the human microbiome. His work focuses on reconstructing predictive, systems-level models of the microbiome and on developing novel computational methods for integrative, multi-omic analysis of microbiome data, aiming to provide a better principled understanding of the microbiome and its role in human health and to inform microbiome-based therapy efforts.
Dr. Borenstein is the recipient of various awards including the Alfred P. Sloan Fellowship and the NIH New Innovator Award.
For more information, visit his website at: http://elbo.gs.washington.edu/