Ophelia Venturelli

Assistant Professor

University of Wisconsin-Madison

United States

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Ophelia Venturelli is an Assistant Professor at the University of Wisconsin-Madison, USA. Her research areas primarily focus on human gut microbiota, including community assembly, metabolic modeling, and microbial interactions. Recent articles highlight her work on the arginine dihydrolase pathway, single-cell sequencing of microbial populations, and optimizing microbial community functions through advanced computational techniques.

Articles (20)

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2025

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2021

Collaborators (5)

Robert Landick

University of Wisconsin-Madison

UNITED STATES

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Christian Diener

Assistant Professor

Medical University of Graz

AUSTRIA

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Megan McClean

Associate Professor

University of Wisconsin-Madison

UNITED STATES

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Freeman Lan

University of Wisconsin-Madison

UNITED STATES

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Karthik Anantharaman

Assistant Professor

University of Wisconsin-Madison

UNITED STATES

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Ophelia Venturelli

Research Interests

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About

Articles (20)

Decoding the role of the arginine dihydrolase pathway in shaping human gut community assembly and health-relevant metabolites

Publisher Correction: Massively parallel single-cell sequencing of diverse microbial populations

Phocaeicola vulgatus shapes the long-term growth dynamics and evolutionary adaptations of Clostridioides difficile

Microbial community interactions on a chip

Elucidating human gut microbiota interactions that robustly inhibit diverse Clostridioides difficile strains across different nutrient landscapes

Microbial community-scale metabolic modelling predicts personalized short-chain fatty acid production profiles in the human gut

Dynamic Multiplexed Control and Modeling of Optogenetic Systems Using the High-Throughput Optogenetic Platform, Lustro

Massively parallel single-cell sequencing of diverse microbial populations

Single-cell analysis of multiple invertible promoters reveals differential inversion rates as a strong determinant of bacterial population heterogeneity

Gut microbiota interspecies interactions shape the response of Clostridioides difficile to clinically relevant antibiotics

Programming bacteria for multiplexed DNA detection

Efficient plasmid transfer via natural competence in a microbial co‐culture

Carbohydrate complexity limits microbial growth and reduces the sensitivity of human gut communities to perturbations

Control points for design of taxonomic composition in synthetic human gut communities

Integrating a tailored recurrent neural network with Bayesian experimental design to optimize microbial community functions

Recurrent neural networks enable design of multifunctional synthetic human gut microbiome dynamics

Polysaccharide utilization loci in Bacteroides determine population fitness and community-level interactions

Negative interactions determine Clostridioides difficile growth in synthetic human gut communities

Towards a deeper understanding of microbial communities: integrating experimental data with dynamic models

Design of synthetic human gut microbiome assembly and butyrate production

Collaborators (5)

Robert Landick

Christian Diener

Megan McClean

Freeman Lan

Karthik Anantharaman

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