About
I am a PhD student in the EECS Department at UC Berkeley, where I am fortunate to be advised by Alistair Sinclair. Before coming to UC Berkeley, I completed my undergraduate degree at UT Austin. I am grateful for the advice and mentorship of Eric Price.
My research broadly studies the power and limitations of efficient computation, especially in randomized algorithms, quantum computation, and modern machine learning systems.
I am interested in Markov chains and mixing times, with a focus on understanding how structural properties of stochastic processes lead to efficient sampling algorithms. I also study low-depth quantum circuits and near-term quantum computation, including the computational power of shallow quantum circuit models. More recently, I have been interested in efficiency questions for large language models and related systems.
Publications & Preprints
Contact
Email: firstname _ lastname at berkeley dot edu