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The human microbiome - the complex ensemble of microorganisms that populate the human body - has a tremendous impact on our health. World-wide research initiatives regularly provide exciting insights into the previously uncharted composition of the microbiome, and reveal marked compositional changes associated with a wide range of diseases. 


In our lab, we combine a variety of computational approaches, including systems biology, modeling, machine learning, data science, and networks analysis with multi-omic microbiome data, to develop novel computational methods for studying the human microbiome and for gaining a system-level understanding of this complex ecosystem and of its impact on human health, with numerous biomedical applications.

Specific research themes include:

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