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Diving into DevOps
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Diving into DevOps

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BmBaczkowski/README.md

Hello world 👋

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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  1. simMultiCov simMultiCov Public

    Tools to simulate multilevel predictors for clustered data.

    R

  2. avalanche-recall-analysis avalanche-recall-analysis Public

    NLP pipeline for text analysis (free recalls of texts using GPT-4o, Sentence-BERT, and machine learning to generate, embed, and classify sentences.

    Python

  3. unravel unravel Public

    Bayesian recognition model in R & Stan.

    R

  4. gideon-temp gideon-temp Public

    Data pipeline for harmonizing behavioral and MRI data into BIDS format.

    Python

  5. imat-temp imat-temp Public

    Data pipeline for harmonizing behavioral and psychophysiological data into BIDS-like format.

    Python

  6. alise-ptb alise-ptb Public

    A legacy collection of Psychtoolbox scripts for interfacing with Digitimer and EyeLink hardware.

    MATLAB