Technical Posts

Here you can find algorithm explanations and commentary that align with my primary research interests.

The best way to deeply understand a technique is to program it yourself, teach it to someone else, or both. I am starting to collect my code implementations on my github and trying to write material here that lies somewhere between casual blog posts and lecture notes. This is primarily a forcing function for my own understanding, but maybe others will find the material helpful as well.

Note that I will not be posting the material from my JHU EP class beyond some high-level transformers notes or adjacent ideas, as that material is owned by JHU.

For less serious posts, see the Other page.

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