Alex Wang

Hey it's nice to meet you, I'm Alex!

I'm a fifth-year PhD candidate in Computer Science at Stanford, working with Emily B. Fox. Most recently, I've been interested in designing neural networks with associative memory, which can make sequence models better at handling long context tasks without blowing up our hardware. My research finds ways to add explicit structure into neural networks, enabling more data-efficient training and even new capabilities.

I like to learn a bit of everything, which is reflected in the eclectic mix of projects I’ve taken on over the years. Before coming to Stanford, I studied math, physics, and computer science at Cornell.

See my CV for more details.