Mateusz Garbulowski
Postdoctoral Researcher at Uppsala University
Uppsala, Sweden
Summary
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Senior🎓
Top SchoolMateusz Garbulowski is a postdoctoral researcher in precision cancer medicine at Uppsala University with eight years of experience applying bioinformatics and interpretable machine learning to big omics datasets. He specializes in gene expression analysis and inference of gene regulatory networks for cancer and other complex diseases, translating complex molecular data into actionable biological insights. His trajectory from web development to internships and dual PhD training reflects a pragmatic, multidisciplinary approach that blends computational rigor with experimental awareness. Based in Uppsala, he leverages open academic environments and state-of-the-art methods to bridge discovery and translational impact, often prioritizing model interpretability alongside predictive performance.
8 years of coding experience
3 years of employment as a software developer
Technician, Photo Technician, Technician, Photo Technician at Post secondary school - Proedukacja KatowiceMaster of Science - MS, Biotechnology, MS and Eng., Master of Science - MS, Biotechnology, MS and Eng. at The Silesian University of TechnologyDoctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at Uppsala University
English, Polish, Swedish
Github Skills (12)
mining10
r-package10
rosetta10
interpretable-machine-learning10
theory9
set-theory9
discovery9
data-mining8
machine-learning7
data-science6
classification3
git2
Programming languages (3)
Github contributions (5)
komorowskilab/R.ROSETTA
Jan 2018 - Mar 2021
An R package for interpretable machine learning. R.ROSETTA uses ROSETTA toolkit that supports data mining and knowledge discovery based on the rough set theory.
Contributions:709 commits, 94 PRs, 559 pushes in 3 years 3 months
r-packageminingdata-scienceknowledgedata-mining
mategarb/R.ROSETTA
May 2019 - Sep 2024
An R package for rough set-based classification.
Contributions:6 PRs, 103 pushes in 5 years 4 months
r-packageroughmachine-learningclassification
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