Karin Schork
Wissenschaftlicher Mitarbeiter at Ruhr-Universität Bochum
Bochum, North Rhine-Westphalia, Germany
Summary
🤩
Rockstar🎓
Top SchoolKarin Schork is a statistician and scientific researcher with 11 years of experience, currently working as Wissenschaftlicher Mitarbeiter at Ruhr-Universität Bochum and pursuing a doctorate in statistics at TU Dortmund. She specializes in statistical methods for proteomics and contributes to open-source machine learning in R, notably extending Bayesian learners in the widely used mlr framework. Her work blends rigorous academic research with practical software development, validating new probabilistic models through testing and integration. Based in Bochum, she brings deep domain expertise in Bayesian modeling and reproducible analysis workflows that bridge computational statistics and life-science applications.
11 years of coding experience
Doktor, Statistics, Doktor, Statistics at Technische Universität Dortmund
German, English
Github Skills (15)
learnpress10
regression10
machine-learning10
learn2learn10
learndash10
r-package10
predictive-modeling10
learing10
learnr10
r10
mlr9
data-science8
testing6
classification4
clustering4
Programming languages (3)
Github contributions (5)
mlr-org/mlr
Jan 2015 - Feb 2015
Machine Learning in R
Role in this project:
Data Scientist
Data ScientistContributions:15 commits, 12 pushes in 12 days
Contributions summary:Karin primarily contributed to the machine learning aspects of the repository. Their work involved adding and modifying learners from the `tgp` package, specifically Bayesian models such as `regr.blm`, `regr.btlm`, `regr.bcart`, `regr.bgp`, `regr.bgpllm`, `regr.btgp`, and `regr.btgpllm`. Additionally, the user updated test files to incorporate and validate these new learners. These changes indicate a focus on expanding the available machine learning models within the `mlr-org/mlr` framework.
imbalance-correctionlearnersensemble-learningclassificationr-package
mpc-bioinformatics/bipartite-peptide-protein-graphs
Apr 2021 - Jul 2024
Contributions:3 releases, 32 pushes, 3 tags in 3 years 3 months
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.