Hélène Borges
Ingénieur Chercheur Data Science
Grenoble, Auvergne-Rhône-Alpes, France
Summary
👤
Senior🎓
Top SchoolHélène Borges is a bioinformatician-turned-data-science researcher with nine years of experience applying statistics, ML and deep learning to clinical and proteomics data. Holding a PhD in Bioinformatics from Université Grenoble Alpes, she has delivered methodological contributions, an R package on Bioconductor, and multiple publications while collaborating closely with clinicians and biologists. Now at ADMIR Analysis after roles in industry and academia, she blends rigorous experimental design with production-ready software practices (Git, R, Python). Passionate about generative AI, she treats statistical modeling as an art to make complex biological signals speak. Notably, she pairs technical depth in biostatistics with creative skills—web development and scientific outreach—demonstrating an unusual mix of research, engineering and communication.
9 years of coding experience
Doctorat, Bioinformatics, Doctorat, Bioinformatics at Université Grenoble AlpesMaster, Bioinformatics, mention Bien, Master, Bioinformatics, mention Bien at Université Denis Diderot (Paris VII)
Spanish, French, English, German
Github Skills (5)
shiny7
proteins5
r-package5
bioconductor4
bioinformatics3
Programming languages (1)
Github contributions (5)
HelBor/wpm
Dec 2019 - Jun 2021
Well-Plate Maker (shiny application)
Contributions:319 commits, 4 PRs, 279 pushes in 1 year 6 months
makerplateshiny
HelBor/anova-limma
Oct 2019 - Dec 2019
Contributions:6 pushes, 1 branch in 1 month
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