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ciguaran/README.md

Computer scientist (MSc, UBA - University of Buenos Aires, 2017).

I am interested in computational aspects of bayesian inference. In particular, the modelling of statistical problems as programs and the implementation of inference algorithms such as MCMC and SMC.

Currently

Since Nov 2023 I am working as research engineer in statistical computing. Focused on applied problems on constrained optimization and optimal experimental design on top of bayesian models.

Since roughly 2023: I am a BlackJax contributor. To learn more check My PRs and issues list and the BlackJax Paper

2025: enrolled in Specialization in Mathematical Statistics at University of Buenos Aires.

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  1. functional functional Public

    Implementing from scratch interesting functional programming constructs.

    Python

  2. statistical_rethinking statistical_rethinking Public

    My notes for the course 'Statistical rethinking'

    Jupyter Notebook

  3. blackjax-devs/blackjax blackjax-devs/blackjax Public

    BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

    Python 918 118

  4. blackjax-devs/sampling-book blackjax-devs/sampling-book Public

    Tutorials and sampling algorithm comparisons

    TeX 75 15

  5. pymc-devs/pymc-extras pymc-devs/pymc-extras Public

    Powerful add-ons for PyMC

    Jupyter Notebook 102 61