My research is in theoretical computer science, with an emphasis on quantum computing. More specifically, I work on quantum state learning, quantum complexity theory, property testing, and approximation algorithms.
Before joining UC Berkeley, I was at UT Austin, MIT and Caltech. I received my Ph.D. from Carnegie Mellon University, where I was advised by Ryan O'Donnell. I received my B.Sc. in computer science from UT Austin.
- 2016, Ph.D., Computer Science, Carnegie Mellon University