Iva Veseli
Postdoctoral Researcher at Helmholtz Institute for Functional Marine Biodiversity
Oldenburg, Lower Saxony, Germany
Summary
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Senior🎓
Top SchoolIva Veseli is a computational microbial ecologist and postdoctoral researcher with ~10 years of experience bridging bioinformatics, software development, and microbial 'omics. Based at the Helmholtz Institute for Functional Marine Biodiversity and the Center for Chemical Currencies of a Microbial Planet, she develops and applies computational pipelines to study marine and gut microbiomes, with a PhD from the University of Chicago where she built tools to estimate microbial metabolic potential. A core back-end developer and DevOps contributor to the widely used anvi'o platform, she focuses on robustness and reproducibility in KEGG processing and module analysis. Her work uniquely combines rigorous software engineering with ecological insight—having applied metabolism reconstruction methods across human gut and global ocean datasets—making her adept at turning complex genomic data into interpretable metabolic hypotheses.
9 years of coding experience
3 years of employment as a software developer
BS Biology / MS Computer Science, BS Biology / MS Computer Science at Illinois Institute of TechnologyDoctor of Philosophy - PhD, Biophysical Sciences, Doctor of Philosophy - PhD, Biophysical Sciences at University of Chicago
English, Croatian
Github Skills (10)
version-control10
git10
refactoring10
python10
refactor10
data-processing10
testing9
docker8
bioinformatics8
dockers8
Programming languages (5)
Github contributions (5)
merenlab/anvio
Dec 2019 - Jan 2023
An analysis and visualization platform for 'omics data
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:37 reviews, 1966 commits, 83 PRs in 3 years 1 month
Contributions summary:Iva primarily focused on improving the robustness and functionality of the backend code, particularly around the KEGG data processing and module analysis components. They implemented fixes for directory structures and output, ensuring consistent and accurate results. Furthermore, the user's work included refactoring existing code, such as for the handling of modules, which likely contributed to improved performance and maintainability. The user also made changes to the testing and deployment infrastructure with updates that would be useful to the larger team.
pythonmetagenomicssciencemetatranscriptomicsphylogenomics
ivagljiva/webpage
Sep 2017 - Dec 2021
Contributions:38 pushes, 2 branches in 4 years 3 months
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