Anatomy of a Probabilistic Programming Framework

13 minute read

In this blog post, we’ll break down what probabilistic programming frameworks are made up of, and how the various pieces are organized and structured. We’ll take a look at some open source frameworks as examples.

Graduated Cooper Union, Joining Point72

less than 1 minute read

Some exciting personal news: I’ve graduated from The Cooper Union and I’m joining Point72 Asset Management as a data scientist/research analyst!

Autoregressive Models in Deep Learning — A Brief Survey

11 minute read

My current project involves working with a class of fairly niche and interesting neural networks that aren’t usually seen on a first pass through deep learning. I thought I’d write up my reading and research and post it.

Back to top ↑


Cookbook — Bayesian Modelling with PyMC3

23 minute read

This is a compilation of notes, tips, tricks and recipes for Bayesian modelling that I’ve collected from everywhere: papers, documentation, peppering my more experienced colleagues with questions.

Why Latent Dirichlet Allocation Sucks

11 minute read

Latent Dirichlet allocation is a well-known and popular model in machine learning and natural language processing, but it really sucks sometimes. Here’s why.

Back to top ↑


Hello World!

less than 1 minute read

This is the first post of what will (hopefully) be a cool and interesting blog. Hope you like it!

Back to top ↑