I'm a research scientist at Google DeepMind.
Previously, I was a PhD student in EECS at Berkeley, advised by
Pieter Abbeel, and spent two years part-time at Google Brain.
I'm an incoming Assistant Professor at
Carnegie Mellon University.
I'm interested in solving general superintelligence. To reach this goal, I research scalable training objectives and architectures, developing methodologies in areas such as world models, reasoning, large-scale language models, and reinforcement learning.