Eran Agmon is a computational biologist and faculty affiliate with 12 years of experience building compositional systems for whole-cell and microbial community modeling. Currently an assistant professor at UConn Health and a faculty affiliate at the Center for Chemical Currencies of a Microbial Planet, he combines academic research with hands-on software development honed during a postdoc at Stanford. His work bridges informatics, cognitive science, and systems biology to create reproducible, data-driven models of cellular systems. Known for integrating large-scale modeling with practical tooling, he brings both theoretical depth from a PhD in Informatics and pragmatic engineering experience that speeds hypothesis-to-analysis cycles.
12 years of coding experience
10 years of employment as a software developer
University of California, San Diego
PhD Informatics and Computing, PhD Informatics and Computing at Indiana University Bloomington
MS Systems Science, MS Systems Science at Portland State University
a multi-scale simulation platform for whole-cell modeling
Contributions:398 PRs, 1838 pushes, 631 branches in 1 year 2 months
simulation
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