Justine Debelius

Assistant Scientist at Johns Hopkins Bloomberg School of Public Health

United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
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.
code12 years of coding experience
bookBS, Chemistry, BS, Chemistry at Saint Mary's College
bookMaster of Science (M.S.), Chemistry and Biochemistry, Master of Science (M.S.), Chemistry and Biochemistry at South Dakota State University
bookDoctor of Philosophy (PhD), Biochemistry, Doctor of Philosophy (PhD), Biochemistry at University of Colorado Boulder
github-logo-circle

Github Skills (3)

bioinformatics10
documentation10
python10

Programming languages (4)

RJavaScriptJupyter NotebookPython

Github contributions (5)

github-logo-circle
scikit-bio/scikit-bio

Nov 2014 - Oct 2016

scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.
Role in this project:
userBackend 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.
bioinformaticsdata-structuredata-structurespythonscikit
jwdebelius/q2-sidle

Apr 2020 - Apr 2022

A QIIME 2 implementation of SMURF
Contributions:3 releases, 2 reviews, 294 commits in 2 years 1 month
qiime
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial