Assistant Professor
Department of Electrical Engineering and Computer Sciences,
University of California, Berkeley
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 MIT, Caltech and UT Austin. 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.
CS170: Efficient Algorithms and Intractable Problems |
| CS 294: Quantum Complexity Theory |
| CS170: Efficient Algorithms and Intractable Problems |
| CS395T: Advanced Quantum Complexity Theory |
| 15-859BB: Quantum Computation and Information |