Jonas Rieger
Wissenschaftlicher Mitarbeiter (Postdoktorand) at Technische Universität Dortmund
Radevormwald, North Rhine-Westphalia, Germany
Summary
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SeniorJonas Rieger is a statistician and data scientist with nine years of experience applying natural language processing in academic research as a postdoctoral researcher at Technische Universität Dortmund. Based in Radevormwald, Germany, he combines rigorous statistical methods with practical NLP engineering to turn textual data into actionable insights. His work bridges theory and implementation, evidenced by a public academic portfolio and GitHub presence focused on reproducible analysis. Colleagues value his ability to translate complex models into clear experimental designs and robust code. Notably, he pairs deep methodological expertise with a scientist’s emphasis on documentation and openness, facilitating collaboration across research projects.
9 years of coding experience
Github Skills (31)
journal9
content-analysis9
lda9
clustering9
open-access8
bootstrapping8
latent-dirichlet-allocation8
academia7
statistics7
creative-commons7
simulation6
torque5
r-package4
validation4
ggplot4
Programming languages (3)
Github contributions (5)
JonasRieger/ldaPrototype
May 2019 - Jan 2023
Determine a Prototype from a number of runs of Latent Dirichlet Allocation (LDA) measuring its similarities with S-CLOP: A procedure to select the LDA run with highest mean pairwise similarity, which is measured by S-CLOP (Similarity of multiple sets by Clustering with Local Pruning), to all other runs.
Contributions:6 releases, 359 commits, 2 PRs in 3 years 9 months
clusteringlatent-dirichlet-allocationlda
Docma-TU/tosca
Jan 2019 - Sep 2022
Tools for Statistical Content Analysis
Contributions:89 commits, 9 PRs, 76 pushes in 3 years 8 months
statisticscontent-analysisstatistical
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