What do you get when you put a physicist, a biologist and a data scientist in the same body? Well, you’re about to find out…
In this episode you’ll meet Osvaldo Martin. Osvaldo is a researcher at the National Scientific and Technical Research Council in Argentina and is notably the author of the book Bayesian Analysis with Python, whose second edition was published in December 2018.
He also teaches bioinformatics, data science and Bayesian data analysis, and is a core developer of PyMC3 and ArviZ, and recently started contributing to Bambi. Originally a biologist and physicist, Osvaldo trained himself to python and Bayesian methods – and what he’s doing with it is pretty amazing!
We also touch on how accepted are Bayesian methods in his field, which models he’s currently working on, and what it’s like to be an open-source developer.
Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at https://bababrinkman.com!
Links from the show:
Bayesian Analysis with Python, 2nd edition: https://www.amazon.com/dp/B07HHBCR9G
Bayesian Analysis with Python, code repository; https://github.com/aloctavodia/BAP
Osvaldo on Twitter: https://twitter.com/aloctavodia
PyMC3, Probabilistic Programming in Python: https://docs.pymc.io/
ArviZ, Exploratory analysis of Bayesian models: https://arviz-devs.github.io/arviz/
BAyesian Model-Building Interface (BAMBI) in Python: https://bambinos.github.io/bambi/
This podcast uses the following third-party services for analysis: