I work at the intersection of statistical modeling, research data management, and software engineering, focusing on reproducible pipelines, Bayesian methods, and sustainable research infrastructure. Alongside teaching and consulting, I blog about data engineering tools and best practices for making scientific work robust, reusable, and trustworthy.
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Diving into DevOps
Research data and software engineer
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University of Tübingen
- Tübingen, DE
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09:36
(UTC +02:00) - bmbaczkowski.github.io
- https://orcid.org/0000-0001-9827-797X
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avalanche-recall-analysis
avalanche-recall-analysis PublicNLP pipeline for text analysis (free recalls of texts using GPT-4o, Sentence-BERT, and machine learning to generate, embed, and classify sentences.
Python
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gideon-temp
gideon-temp PublicData pipeline for harmonizing behavioral and MRI data into BIDS format.
Python
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imat-temp
imat-temp PublicData pipeline for harmonizing behavioral and psychophysiological data into BIDS-like format.
Python
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alise-ptb
alise-ptb PublicA legacy collection of Psychtoolbox scripts for interfacing with Digitimer and EyeLink hardware.
MATLAB
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