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Achievement: YOLOAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

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JoseAlanis/README.md

Hi there 👋

Thank you for visiting my GitHub page. Great to meet you!

My name is José. I'm a clinical neuroscientist and scientific software developer at the Analysis and Modelling of Complex Data at Johannes Gutenberg University in Mainz, Germany, and at the Department of Clinical Child and Adolescent Psychology at Philipps-Universität Marburg, Germany.

My background is in experimental psychology and statistical modelling. I'm currently wrapping up my Ph.D. at Philipps-Universität Marburg, where I focus on linking brain function and structure to cognitive processes that foster behavioral adaptation.

As a software developer, I specialize in designing and improving data preprocessing and analysis pipelines for various types of data. I'm particularly interested in enhancing the reproducibility and sustainability of research projects in clinical neurosciences. Most of my software development is in Python; see here and here for examples.

I enjoy collaborating with colleagues by conducting workshops in both Python and R. For instance, you can see here. I also currently maintain the documentation for various projects, such as here, here and here.

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  1. mne-stats mne-stats Public

    Advanced statistical analysis in MNE-Python

    Python 6

  2. Supplementary_Soc_ERN Supplementary_Soc_ERN Public

    Supplementary materials and analysis scrips for Alanis et al., (submitted, 2018; published 2019)

    R

  3. supplementary_dpx_tt supplementary_dpx_tt Public

    Supplementary materials and analysis scrips for Alanis et al., 2018

    Python 1

  4. supplementary_social_flanker supplementary_social_flanker Public

    EEG data analysis pipeline for social flanker task

    Python 1

  5. SampleData_BinomialGLMM SampleData_BinomialGLMM Public

    Sample Data to run binomial GLMM with glmer (package lme4) in R

    Jupyter Notebook 1

  6. amdstatsem amdstatsem Public

    Website for AMD's statistics seminars

    HTML