A computational scientist building tools for AI-enabled biological discovery @ Profluent Bio. https://gchure.bio
Griffin Chure
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Happy to share the published version of this work from my time at Stanford! Here, we leverage mathematical modeling and a large dataset of growth rates, cell sizes, and proteomics to probe how E. coli coregulate their geometry and their macromolecular composition.
doi.org/10.1038/s414...
When we combine all known mechanisms, we still can't quantitatively account for the level of strain diversity observed in nature. This suggests a fundamental gap in our ecological understanding that requires new experimental measurements, new theoretical frameworks, and new dialogue between them.
The microbial 'Paradox of the Plankton' asks why many species can coexist on limited nutrients. While we have some understanding of how this work at the species level, another puzzle exists at a finer scale: within species, nearly genetically identical 'strains' show distinct ecological behaviors.
Learning about this problem has been incredibly fun and exciting. I met @akshitg.bsky.social a little over a year ago at APS 2024. Since then, we've worked together on a number of projects. Collaborating with kind and curious people is my favorite part of science and Akshit is a prime example.
As the scientific pursuit of knowledge faces intimidating challenges, collaboration becomes even more important. I'm a staunch believer in "night-science", which works best when done with others (see this great article from Itai Yanai and Martin Lercher; doi.org/10.1038/s41587-023-02074-2).
