David X. Wu
he/him/his

I am a Ph.D. student at UC Berkeley, where I’m extremely fortunate to be coadvised by Prasad Raghavendra and Anant Sahai. I’m broadly interested in problems at the intersection of theoretical computer science and statistics, such as Markov chains, statistical inference, and machine learning theory. Last summer, I was an ML research intern at Windsurf working on coding agent capabilities and evals. I’m grateful to be supported by an NSF GRFP fellowship and an OpenAI Superalignment Grant.
I graduated with a B.Sc. from MIT with a double major in mathematics (Course 18) and computer science (Course 6-3), where I was lucky to do research with Justin Solomon and Suvrit Sra. As an undergrad, I interned in quant finance at HRT and Akuna Capital.