Skip to main content

Zeevi is developing computational methods for studying microbial ecology in the human gut and in the marine environment, and its contribution to human and environmental health. Countless global processes rely on the workings of microbes, making them excellent indicators of environmental health and targets for intervention. The genetic repertoire of these microbes is immense, enabling them to perform countless biochemical tasks. But microbes are typically hard to study, as most cannot be grown in the lab. Zeevi’s research focuses on designing new computational tools to study microbial genes sampled directly from their natural habitat in order to understand how they affect their environment. Using machine learning, and by combining multiple layers of environmental and microbial data, he studies the ability of natural microbial communities to act as environmental biomarkers and their potential to undertake environmental interventions.