Dan King
Self Employed
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolDan King is an independent software and robotics developer with 15 years of experience building polished, practical systems that span embedded robotics, GIS, and enterprise automation. Based in San Diego, he combines hands-on Python and hardware prototyping (recently with Raspberry Pi 5) with large-scale workflow automation and Power Platform architecture delivered for municipal and county governments. His background includes bioengineering-adjacent software and DevOps roles and open-source contributions to scientific tooling—most notably back-end work on COBRApy for constraint-based metabolic modeling. Dan has a track record of shipping mission-critical GIS and emergency-response systems dating to the 1990s, and he brings that operational mindset to modern autonomous and voice-interaction projects. He’s comfortable leading distributed teams and translating complex domain requirements into reliable, user-focused products.
15 years of coding experience
9 years of employment as a software developer
University of California, San Diego
Stackoverflow
41reputation
14kreached
1answer
0questions
Github Skills (17)
python10
constraint-satisfaction10
constraint-layout10
constraint10
metabolic-models10
flux10
bioinformatics10
fluxor10
modeling10
json9
sbml9
computational-biology8
cobra8
zooming6
svg6
Programming languages (14)
Github contributions (5)
opencobra/cobrapy
Jan 2014 - Oct 2016
COBRApy is a package for constraint-based modeling of metabolic networks.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 commits, 6 PRs, 39 comments in 2 years 8 months
Contributions summary:Dan primarily contributed to the development and maintenance of the COBRApy library, focusing on enhancing core functionalities and improving the user experience. Their work includes fixing bugs in the gene removal process, implementing JSON import/export capabilities for models, and adding new features such as changing the objective function and turning off reactions. The user also introduced new functions for handling model constraints and contributed to the integration of OptKnock functionality, demonstrating a strong understanding of constraint-based modeling principles. Furthermore, they updated the documentation to improve output formatting.
pythonsystems-biologysimulationsbml-simulationbioinformatics
zakandrewking/.emacs.d
Jan 2015 - Mar 2018
Contributions:116 pushes, 1 branch in 3 years 2 months
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