I am a cognitive psychologist passionate about statistical modeling, reproducible research workflows, and methodological rigor. My work increasingly emphasizes infrastructure over novelty – building reproducible analysis pipelines, improving Bayesian modeling strategies, and supporting sustainable research data management. I teach and consult on statistics, and occasionally blog about data engineering tools and the practical challenges of making scientific work reusable, robust, and trustworthy.
Research data and software engineer
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University of Tübingen
- Tübingen, DE
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00:53
(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 textsusing 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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