I’m a Staff Research Scientist at Google DeepMind. I work primarily in two areas:

  1. Science of AI, especially in-context learning. I try to understand modern AI systems as an object of study, much as neuroscientists and cognitive scientists try to understand the brain. A lot of my work focuses on understanding in-context learning in transformers.
  2. AI to empower humans. I believe that AI can be used to augment human potential and human capital, e.g. via education, if we do it responsibly and inclusively.

I previously led small research teams at AI-based startups in Boston/Barcelona/Hong Kong. My PhD was in computational neuroscience at Princeton, focusing on reinforcement learning and episodic memory. At MIT, I did a BS in physics and a BS in brain and cognitive sciences.