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The Borenstein Lab for
Computational Microbiome Research

The Borenstein lab focuses on computational study of the human microbiome and of other complex microbial ecosystems. We are broadly interested in the integration of systems biology approaches, computational modeling, data science, and integrative meta-omic analysis to address fundamental questions in microbial ecology and to gain a systems-level, principled, mechanistic understanding of the microbiome. We develop a variety of computational methods and predictive models for studying the human microbiome, and aim to harness such methods for microbiome-based therapy.

Elhanan Borenstein, PhD

Professor of Computer Science
Professor of Medical & Health Sciences
Head, Edmond J. Safra Center for Bioinformatics

Head, Alrov Center for Digital Medicine

Tel Aviv University

Affiliate Professor of Genome Sciences
University of W
ashington

External Professor
Santa Fe Institute

Latest Selected Publications
Relative dispersion ratios following fecal microbiota transplant elucidate principles governing microbial migration dynamics

2024

The Team
News & Updates

8.3.24

A new paper: MintTea

Congratulations to Efrat! Her paper: "Multi-omic integration of microbiome data for identifying disease-associated modules" has been accepted to Nature Communications

6.2.24

A new grant

Our lab was awarded a new grant from the Edmond J Safra Center, in collaboration with Shaare Zedek Medical Center on “Integrative multi-omic analysis of response to dietary interventions in pediatric patients with Crohn’s disease”

4.2.24

Efrat won the Eric and Wendy Schmidt Award

Congrats to Efrat Muller, who won the prestigious Eric and Wendy Schmidt Postdoctoral Award for Women in Mathematical and Computing Sciences. Very well deserved!

Contact

Contact Us

Interested in joining the Borenstein Lab? You are welcome to contact us.

Blavatnik School of Computer Science, Check Point Building, Room 243

Faculty of Medical & Health Sciences, Room 706


Tel Aviv University
Tel Aviv 6997801, Israel

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