I’m a PhD student at MIT, studying AI, machine learning, and human intelligence.

My research focus is program learning. Specifically, I work on the idea that learning programs from data could provide a way to develop machines which possess more human-like intelligence. My research has two aims:

  1. Developing novel methods for synthesizing programs, combining deep learning and symbolic techniques.
  2. Applying program synthesis to build human-like AI models to solve concept learning and reasoning tasks.

My advisors are Josh Tenenbaum and Armando Solar-Lezama. I also work with Brenden Lake (NYU/Facebook AI) on few-shot language learning via program synthesis.

Before MIT, I received a BA in physics from Harvard.

My publications can be found here.