Joanna Wolthuis
Data Analyst
Utrecht, Utrecht, Netherlands
Summary
👤
Senior🎓
Top SchoolJoanna Wolthuis is a data analyst and near-complete PhD in bioinformatics and metabolomics with a decade of experience combining life-sciences lab work and computational pipelines. She has built R-based analysis workflows, high-performance computing pipelines, and an RShiny visual interface for mass spectrometry data during her PhD at UMC Utrecht, and now applies those skills at Devise. Comfortable across R, Bash and Python, she blends deep domain knowledge of small-molecule biology with practical data engineering. Joanna is aiming to pivot more into computer science roles that let her bring a creative front-end element to analytical tooling. A history of internships in genomics, image analysis and science communication shows she pairs technical rigor with an eye for usability and storytelling.
10 years of coding experience
Doctor of Philosophy - PhD, Bioinformatics and metabolomics, Doctor of Philosophy - PhD, Bioinformatics and metabolomics at Universiteit UtrechtBachelor of Science (B.Sc.), Biomedische wetenschappen (Biomedical Sciences), 7.4, Bachelor of Science (B.Sc.), Biomedische wetenschappen (Biomedical Sciences), 7.4 at Utrecht UniversityGymnasium, High School, Gymnasium, High School at Huygenslyceum Voorburg
English, Dutch, French, japans
Github Skills (56)
bioconductor10
rshiny10
peak-detection9
venn-diagram9
set-operations9
mass-spectrometry9
ggplot9
data-analysis8
code-profiling8
shiny8
r8
r-package8
ms-data7
rstudio7
feature-detection7
Programming languages (10)
Github contributions (5)
joannawolthuis/MetaDBparse
Jul 2019 - May 2021
Parsing metabolomics databases with publically available resources
Contributions:18 commits, 88 pushes, 11 comments in 1 year 9 months
databasedatabasesparsing
joannawolthuis/MetaboShiny
Sep 2017 - Dec 2022
Repository for MetaboShiny, a novel R and RShiny based metabolomics data analysis package.
Contributions:131 commits, 3 PRs, 500 pushes in 5 years 4 months
data-analysisrshiny
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