
Hi! I’m your host, Alexandre Andorra. I’m a Senior Data Scientist at Meta, working on causal inference and generative models. I’m also a core contributor to PyMC and ArviZ, and I teach Intuitive Bayes courses.
Note: This podcast is a personal project. All opinions expressed here are my own and do not represent the views of Meta or any affiliated organization.
An always-learning statistician, I love building models and studying human behavior. I also love Nutella a bit too much, but I don’t like talking about it – I prefer eating it.
Since I’m French lazy and don’t like to repeat myself, I created a set of open-source skills that teach AI agents to do rigorous causal and Bayesian modeling — DAG specification, identification strategies, prior selection, model diagnostics — with PyMC, CausalPy, and ArviZ. Compatible with Claude Code, Cursor, Gemini CLI, and more.

Call your agent Bayes. Thomas Bayes.
Wanna support the show and unlock exclusive Bayesian swag at the same time?
Then visit the LBS Patreon page and get various benefits — private Slack, bonus content, acknowledgement in episodes — and even exclusive merch delivered right to your door!
Yeah, you read that right — BONUS content, like the one to the left of this text 😏
Go from Bayes-curious to Bayes-practitioner with Intuitive Bayes — hands-on courses on Bayesian regression, generalized linear models, and the full Bayesian workflow, using PyMC and ArviZ.