Karolina Smolinska-garbulowska
Data Scientist
Uppsala, Sweden
Summary
👤
Senior🎓
Top SchoolKarolina Smolinska-garbulowska is a data scientist and PhD candidate in bioinformatics with eight years’ experience applying machine learning, statistics and network visualization to multi-omics problems, particularly cancer. She has built R, Shiny and Python tools to predict non-coding regulatory variants from Pan-Cancer whole-genome data and developed R packages for creating and visualizing rule-based models. At Uppsala University she combined research, teaching and project management, and now applies those skills at Cytiva to translate computational biology methods into practical solutions. Known for tackling challenging datasets, she brings a blend of academic rigor and product-oriented implementation, and enjoys working in focused, creative teams to move complex analyses into usable tools.
8 years of coding experience
Master of Engineering - MEng, Biotechnology, Master of Engineering - MEng, Biotechnology at The Silesian University of TechnologyDoctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at Uppsala University
Swedish, English, Polish
Github Skills (9)
rule9
visual-analytics8
rule-based8
network-visualization8
transcription7
visualization7
bioinformatics6
factor6
git3
Programming languages (3)
Github contributions (5)
husensofteng/pancancer_analysis
Feb 2020 - Apr 2021
Contributions:583 pushes, 1 comment in 1 year 1 month
komorowskilab/VisuNet
Feb 2019 - Jan 2022
VisuNet: an interactive tool for network visualization of rule-based models in R
Contributions:158 commits, 2 PRs, 146 pushes in 2 years 11 months
visual-analyticsrulerule-basednetwork-visualizationgraphs
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