DeltaLabs

DeltaLabs #

Hi, this is Jiawei.

I’m a physics PhD. In my PhD I studied theories and computational methods for quantum physics.

  • One topic I worked on is the correlated phenomena emerging from moiré systems. Imagine stacking two layers and giving them a twist — a moiré pattern forms. Because this large-scale pattern shows up in real space, the momentum scale becomes tiny, so small that correlation energies dominate over kinetic energies, and strong correlations appear. I find this system fascinating because it’s an interplay of topology and correlation. To make sense of it, I get help from math to understand the topology, and I get help from CS to actually crunch the numbers. With HPC and different levels of approximation, we try to tame this exponentially complex problem.
  • Another topic I worked on is applying machine learning in physics. I’m amazed by the power of AI in daily life, and wondered: can we use it to solve physics problems? One project was to use ML on the vertex function — a Feynman diagram that describes electron interaction. It’s pretty cool that deep learning and data visualization can help uncover the latent structures behind these physical functions.

After graduation, I also explored high frequency trading in equity and options. That experience made me think about things more statistically. Surprisingly, it helped me revisit linear regression — something I once thought was simple but actually has many layers. I like the geometric way of looking at data, and I got to see different trading styles up close.

Recently I’ve been studying large language models, very much as a beginner. It gives me a kind of excitement similar to when I first studied physics. This website is a collection of study notes. Here we go.

What’s Here #

  • LLM – Notes on Language Modeling from Scratch

Let’s Connect #