Alex Alemi Headshot

Alexander A. Alemi

I am a Research Scientist at Google Deepmind. My current focus is the intersection of Information Theory and Deep Learning. I got my Ph.D. in Theoretical Condensed Matter Physics at Cornell University, supervised by Jim Sethna. I got my B.S. at Caltech, where I majored in Physics.

Research

Writing

For more writing, see my blog.

Code

I've contributed to various Google Opensource projects including: NanoDo, JAX, Neural Tangents, Tensorflow Probability, Tensorflow Datasets, and TensorFlow.

I also opensourced a top class image classification network: Inception Resnet V2.

A self-contained Diffusion colab is available here.

An open source demo of VIB is available here.

pychebfun is an open source reimplimentation of ChebFun.

texpad.alexalemi.com is a simple static MathJAX formula as copyable image generator.

alexalemi/advent are my solutions to Advent of Code.

Talks

Etc.