PyData Global 2022

Oriol Abril Pla

My name is Oriol Abril Pla. I have a background in engineering physics and astrophysics but I currently work as computational statistician. I am a core contributor and council member of ArviZ and PyMC projects. I have also worked on statistical research while at Helsinki University, especially in the fields of inference diagnostics, prior elicitation and data visualization.

I dedicate a lot of my time to community management and documentation because I believe they are as important as the code. I have helped organized and mentored in multiple Data Umbrella sprints. I have also mentored many new ArviZ and PyMC team members whose backgrounds ranged from computational scientist to technical writer.

The speaker's profile picture

Sessions

12-02
10:00
120min
Working session for the Bayesian Python Ecosystem
Oriol Abril Pla

There is a rich ecosystem of libraries for Bayesian analysis in Python and it is necessary to use multiple libraries at the same time to use a Bayesian workflow, from model creation to presenting results going through sampling and model checking.

This working session aims to bring together practitioners to discuss and address interoperability issues within the ecosystem. Attendees should expect a hands-on get together where they will meet other Bayesian practitioners with whom to discuss the issues faced and contribute to open source libraries with issues, pull requests and discussions.

Workshop/Tutorial I