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← soil microbiome science active practice

Eoin Brodie

Builds genome-informed, trait-based models that scale microscopic microbial traits up to predict soil carbon storage and greenhouse gas emissions.

The record

Standing
active practice
Based
Lawrence Berkeley National Laboratory · United States
Focus area
High-Performance Computing
Works on
trait-based modeling, genome-inferred kinetics, microbes-to-biomes, soil carbon forecasting, rhizosphere.

Standing is this studio’s placement of the work, not a ranking of the person, and it is the one line here that is a judgement rather than a cited fact.

The work

Senior scientist at Lawrence Berkeley National Laboratory and Deputy Director of its Climate and Ecosystem Sciences Division, with an adjunct appointment at UC Berkeley (PhD, University College Dublin). Co-corresponding author with Jennifer Pett-Ridge on a 2024 Nature Microbiology model showing how microbial traits inferred from genomes govern rhizosphere carbon storage. Leads the DOE Watershed Function Scientific Focus Area and co-directs the Joint Berkeley Initiative in Microbiome Sciences.

Where to read them

  • Eoin Brodie — lab or personal site
  • Marschmann et al. (2024) genome-informed model of rhizosphere microbial carbon use, Nature Microbiology
  • Li et al. (2025) framework for integrating genomics, microbial traits, and ecosystem biogeochemistry, Nature Communications
  • Malik et al. (2020) trait-based microbial strategies, ISME J

Sources for this record

Corrections

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