A Ground-Up Guide to Optimizing Matrix Multiplication (from naive loops to beating OpenBLAS)
A detailed longform article is coming, but for now, the GitHub files are heavily annotated and are intended to stand on their own.
Current Posts
Candid Takeaways and Useful Lessons from Training VLMs for Ophthalmology
I’ve spent the past 3 months at my job fine-tuning vision language models to be better at analyzing ophthalmic imaging data. We initially expected quick and...
Posts from High School
The Math Behind Asteroid Impact Prediction
65 million years ago, the dinosaurs were wiped out by an asteroid. The Flat-o-saurs are like the dinosaurs, but they live on a 2D planet called plane-et (wh...
Adversarial Patches and Autonomous Vehicles
Intro Imagine a self-driving car passing a strange looking piece of graffiti. All of a sudden, the vehicle fails to respond to a stop sign, and runs into an...
The Surprisingly Hard Problem of Polycube Enumeration
In my Intro to Engineering class, we were tasked with designing a Megaron puzzle cube. A Megaron cube consists of 5 puzzle piece (each built out of some num...
What is Object Detection and how do R-CNN models do it?
What is Object Detection You probably know what image classification is - a model takes an image with some kind of object and labels what the object is. Obj...
Algorithmic Gerrymandering 2 - The Fun Part (Optimization)
In the previous article, we created a lattice model to represent the map we have to gerrymander, where all the tiles belong to one giant region. Now, we hav...
Algorithmic Gerrymandering 1 - Modelling Population and Voter Distributions
What is Gerrymandering? In a representative democracy, a state is divided into districts. Each district can elect one representative. States redraw distric...