I am a PhD student at Stanford University. I completed my undergraduate degree in computer science at Carnegie Mellon University with a minor in mathematics, and then spent a fun year working at DeepMind.
My main technical interests are in robust machine learning. I’m lucky to have been advised by amazing professors at CMU: Avrim Blum (machine learning theory, streaming algorithms), Guy Blelloch (parallel data structures), and Bob Harper (programming language semantics). I was very lucky to work with many wonderful researchers at DeepMind, including Csaba Szepesvari, Jonathan Uesato, and Pushmeet Kohli on robust evaluation of RL policies, and Ali Eslami, Danilo Rezende, and Murray Shanahan on generative models.
At CMU, I was involved in parliamentary debate, contest programming, contest math, and TA’ing our introductory undergraduate theory class (15-251). See my resume for more details on my professional experience. I also use Github and Linkedin.