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I am especially motivated by the development and implementation of software tools for Bayesian statistics and probabilistic modeling. I am interested in exploring all dimensions of the Bayesian workflow, including prior elicitation, numerical methods for inference, diagnosis of sampling, evaluation and criticism of models, comparison of models and presentation of results.

I collaborate with Python open source projects for Bayesian statistics ArviZ, Bambi, Kulprit, PreliZ and PyMC.

  • Statistics and data analysis

  • Python programming

  • Software development

  • Communication and teaching