Welcome to My Research Blog

Welcome. I’ve been meaning to build a proper research home for a while, and here it is.

What I’ll Write About

This site is where I’ll put things that don’t fit neatly into a paper or a GitHub repo:

• Paper reviews — breakdowns of ML papers with an emphasis on the math, what the authors actually showed vs. what people claim they showed, and what I think is interesting
• Project writeups — documentation of things I’ve built, including the parts that didn’t work
• Notes — shorter posts on observations, ideas, and things I learned the hard way

A Note on the Math

I have a mathematics background, and I’ll lean into that here. When I write about a paper, I’ll try to actually engage with the proofs rather than just summarizing the abstract. This is partly for you and partly selfish — writing out the math is how I understand it.

For inline math, I’ll use standard notation: $f: \mathbb{R}^n \to \mathbb{R}$. For display equations:

$$\mathcal{L}(\theta) = \mathbb{E}_{(x,y) \sim \mathcal{D}}\left[\ell(f_\theta(x), y)\right]$$

Interactive Demos

Where it makes sense, I’ll embed interactive code demos. Lightweight Python experiments will run directly in the browser. For heavier work — models that actually need compute — I’ll link out to Google Colab.

The source for this site is on GitHub if you’re curious about how it’s built.

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More soon.