Assistant Scientist at Johns Hopkins Bloomberg School of Public Health
Sweden
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Summary
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Justine Debelius is an Assistant Scientist at Johns Hopkins Bloomberg School of Public Health with 12 years of experience applying computational methods to reveal how complex human microbial communities influence health outcomes. With a PhD in Biochemistry from the University of Colorado Boulder, she specializes in analysis of large, well-designed epidemiological studies to identify microbial predictors of disease. She brings practical software skills to her research—contributing documentation improvements to the widely used scikit-bio library—helping make bioinformatics power analyses more accessible to the community. Based in Sweden, she blends rigorous bench-to-computation training with a clear focus on reproducible, interpretable microbiome science.
12 years of coding experience
BS, Chemistry, BS, Chemistry at Saint Mary's College
Master of Science (M.S.), Chemistry and Biochemistry, Master of Science (M.S.), Chemistry and Biochemistry at South Dakota State University
Doctor of Philosophy (PhD), Biochemistry, Doctor of Philosophy (PhD), Biochemistry at University of Colorado Boulder
scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.
Role in this project:
Backend Developer
Contributions:62 commits, 4 PRs, 55 comments in 1 year 11 months
Contributions summary:Justine primarily focused on updating documentation within the `skbio/stats/power.py` file, improving code clarity and usability for bioinformatics analysis. These updates involved refining docstrings, clarifying examples, and correcting typographical errors. This suggests an effort to improve the accessibility and understanding of the power analysis methods available within the library.
Contributions:1 PR, 67 pushes, 3 branches in 11 months
statisticalsimulationsstatistical-powerpowerjulia
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Justine Debelius - Assistant Scientist at Johns Hopkins Bloomberg School of Public Health