Daniel Zielinski
Associate Project Scientist
California, United States
Summary
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Senior🎓
Top SchoolDaniel Zielinski is an Associate Project Scientist at UC San Diego with 11 years of experience applying mathematical methods to build and analyze genome-scale kinetic models of cellular metabolism. He specializes in kinetic modeling, biochemical networks, and mathematical analysis, using in vivo high-throughput datasets to constrain and validate large-scale metabolic models. His trajectory from a B.S. in Biomedical Engineering at the University of Virginia to a PhD and postdoctoral work at UCSD reflects deep domain expertise in quantitative systems biology. Daniel combines theoretical rigor with hands-on data integration, bridging mathematical theory and experimental measurements to make models predictive. Based in California, he focuses on scaling kinetic frameworks to cellular networks—an area that often requires bespoke computational approaches and careful parameter inference. He is known for turning complex biochemical systems into tractable, testable models that inform both hypothesis generation and experimental design.
11 years of coding experience
3 years of employment as a software developer
University of California, San DiegoB.S., Biomedical Engineering, B.S., Biomedical Engineering at University of Virginia
Github Skills (7)
biology6
d3js5
javascript4
visualization4
python4
data-visualization2
visualizations2
Programming languages (2)
Github contributions (5)
SBRG/MetPath
May 2018 - Oct 2023
Contributions:12 pushes in 5 years 5 months
opencobra/MASSef
Mar 2018 - Nov 2024
Contributions:4 PRs, 76 pushes, 4 comments in 6 years 8 months
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