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Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

Home Page: https://docs.pymc.io/

License: Other

Shell 0.05% Python 99.85% Dockerfile 0.05% Makefile 0.05%

pymc's Introduction

Carlos Iguaran

Computer scientist (MSc, University of Buenos Aires, 2017). 8+ years experience in the tech industry working on production-level software.

In recent years I've specialized in computational aspects of bayesian inference. BlackJax contributor BlackJax Paper and PR List.

I am interested in software engineering for scientific computing, the modelling of statistical problems as programs and the implementation of inference algorithms such as MCMC and SMC.

Currently working on applied problems on constrained optimization and optimal experimental design on top of bayesian models.

Previously:

📫 You can reach me at Mastodon

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