about me

I am a Miller postdoctoral fellow at UC Berkeley, hosted by Umesh Vazirani.

I do theoretical computer science, primarily quantum computing and randomized numerical linear algebra. Most of my work is on quantum learning, in the senses of “algorithms for learning properties of quantum systems” and “limitations of quantum algorithms for machine learning”.

I received my PhD at the University of Washington, advised by James Lee. Prior to that, I did my undergrad at UT Austin, where I did a thesis advised by Scott Aaronson.

[me] [CV] (last updated March 2024)

research

[google scholar] [talks and teaching]

contact

pronouns: she/her
email: ewin@berkeley.edu
twitter: @ewintang