JBIMS fosters collaboration and synergy across UC Berkeley and Berkeley Lab, combining strengths in Theory, Technology, Model Systems and Data Science to promote microbiome-based solutions for the health of our community, our ecosystems and our planet.
Integrative Microbiome Science for Discovery, Prediction and Translation:
Microbiome Theory
Coordinating across disciplines to advance and evaluate theories from ecology, evolution, biophysics and thermodynamics to understand and predict microbiome structure and function.
Technology for Microbiomes
Developing and integrating diverse technologies to observe and manipulate microbiomes and their interactions with their environments or hosts.
Data Science for Microbiomes
Building a community of microbiome researchers that promote data science best practices for reproducible and reusable datasets, and develop innovative science to uncover causal mechanisms in microbiomes.
Microbiome Model Systems
Developing and promoting the use of reproducible model systems for the study of microbiomes across scales of complexity.
News & Events
Upcoming Event: AI × Microbiome Innovation | 3rd Annual JBIMS Microbiome Innovation Forum
- Date: Friday, May 8th, 2026
- Time: 1:00 PM – 6:00 PM
- Location: The Brower Center (one block from UC Berkeley and Downtown Berkeley BART)
- Register here: https://forms.gle/MMjJ39ZseJTiySn69
Hosted by the Joint Berkeley Initiative for Microbiome Sciences in partnership with Taxa Technologies.
We are thrilled to announce the capstone event in the JBIMS AI in Microbiome Science Event Series: the third annual JBIMS Microbiome Innovation Forum (aka Industry Mixer). This vibrant gathering is designed to connect local microbiome-related researchers, startup founders, investors, policy-makers, non-profit groups, and more to spark new collaborations and amplify the impact of our shared work. This year’s event will provide a forum for microbiome leaders to explore future directions of the field, in particular those that have been unleashed by the power of AI.
New this year, ...
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