The typical set

I am a statistician (some say data scientist) and software engineer working freelance. I am particularly interested in bayesian statistics & generative modeling, mcmc sampling and symbolic computing, which translate into my professional life and the open source projects I contribute to:

• Aesara is a Python library for defining, rewriting and efficiently evaluating mathematical operations on arrays; A "tensor" library.
• AePPL is a collection of tools for A[e]PPL in Aesara.
• Blackjax is a sampling library built with JAX, focused on ease of use, speed and modularity.
• AeMCMC is a sampling library built with Aesara which builds symbolic samplers from model graphs.
• Aehmc provides implementations of samplers in the HMC family (including NUTS) with Aesara.

Unlike a traditional blog, most of the notes you will find here are constant work in progress. They form a tightly knit web of related notions. When traditional blogs are engineered, neatly ordered forests, the typical set is more like an aspen grove:

With this experiment I am also trying to figure out how to write useful notes, and how to efficiently navigate between them.

Notes that are found in the rabbit hole sometimes coalesce into blog posts. Unlike evergreen notes, blog posts are time-stamped and are thus allowed (sometimes expected) to become stale.

>> ENTER THE BLOG <<

Longer projects aim at being evergreen but are written for others. Updating soon.

I frequently have random thoughts popping up, interesting references that come up, I gather all these in a log in Notion.

(For what I have recently read -> HERE)

This website is forever under construction.