I am a computational biologist with broad experience leveraging mathematical modeling, Bayesian statistical inference, and scientific software engineering to decode the complex mechanisms governing cellular function and behavior. I am passionate about building performant and robust software that employs quantitative methods to dissect biological data, and building strong collaborations with scientists and engineers across disciplines.
Theoretical & Applied Biophysics Postdoc at Stanford Biology
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Stanford University - Jonas Cremer Lab
- San Francisco, CA
- http://gchure.github.io
- https://orcid.org/0000-0002-2216-2057
- @gdchure
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cremerlab/hplc-py
cremerlab/hplc-py PublicA Python utility for the processing and quantification of chromatography data
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cremerlab/flux_parity
cremerlab/flux_parity PublicComplete history of the manuscript "An Optimal Regulation of Fluxes Dictates Microbial Growth In and Out of Steady-State"
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reproducible_research
reproducible_research Public templateA template repository for how I structure my scientific research
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RPGroup-PBoC/growth_limits
RPGroup-PBoC/growth_limits PublicRepository for our project on exploring fundamental limits to bacterial growth
HTML 4
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cremerlab/density_maintenance
cremerlab/density_maintenance PublicActive research repository for our work on understanding cell size regulation and cellular composition.
Python
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