Josh Moore

Member And Co-Founder at German BioImaging - Gesellschaft für Mikroskopie und Bildanalyse e.V.

Frankfurt Rhine-Main Metropolitan Area Germany
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Summary

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Rockstar
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Josh Moore is a senior software architect and co-founder with 21 years of experience building open-source tooling for scientific imaging and large-scale data management. Based in the Frankfurt Rhine-Main area, he combines long-term stewardship at Open Microscopy Environment and Glencoe Software with hands-on contributions to respected projects like Bio-Formats, Zarr, RDFLib and PyTables, improving file-format interoperability, metadata handling, and parser robustness. He also maintains bioinformatics packaging and CI work through Bioconda, showing a practical bent for deployable research software and reproducible environments. As Technical Director at German BioImaging and co-founder of the Image Cooperative, he focuses on advancing open standards for scientific image data—bridging research, engineering and community governance. Notably, his contributions often tackle the gritty build-and-compatibility issues that make complex scientific software reliably usable across ecosystems.
code21 years of coding experience
job20 years of employment as a software developer
bookThe University of Alabama
languagesGerman, English
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Github Skills (32)

parserator10
parser10
package-management10
python10
xslt10
rdflib10
testing10
graph10
zarr10
bash10
conda10
data-structure10
java10
numpy10
linked-data10

Programming languages (36)

CCMakeMakefileGoHTMLSvelteGroovyJupyter Notebook

Github contributions (5)

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zarr-developers/zarr-python

Apr 2020 - Jan 2023

An implementation of chunked, compressed, N-dimensional arrays for Python.
Role in this project:
userBackend Developer
Contributions:40 releases, 216 reviews, 77 commits in 2 years 9 months
Contributions summary:Josh primarily focused on refactoring and improving the codebase related to the Zarr library's storage and metadata handling. Their work involved replacing outdated terminology like "Dataset" with "Array" in documentation and code, as well as refactoring code in the `n5.py` file. The user also addressed a bug concerning missing group metadata in the N5 file format. Furthermore, the user made improvements to the tests suite and documentation, adding new tests and clarifying existing documentation.
n-dimensionalpythonzarrndimensional-arrayscompressed
PyTables/PyTables

Jun 2011 - Aug 2013

A Python package to manage extremely large amounts of data
Role in this project:
userBack-end Developer & Test Automation Engineer
Contributions:22 commits, 3 PRs, 9 comments in 2 years 2 months
Contributions summary:Josh's primary focus appears to be on refactoring and maintaining the PyTables codebase, a Python package for managing large datasets. They made several changes, including removing deprecated functionalities (`is_pro`), updating the versioning information, and modifying existing code through refactoring the parameters, conditions and deprecation warnings. A significant portion of the changes involved testing with modifications to test cases, including the copyNodeTestCase, which demonstrates a focus on ensuring data integrity.
python
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