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:
- Developing novel methods for synthesizing programs, combining deep learning and symbolic techniques.
- Applying program synthesis to build human-like AI models to solve concept learning and reasoning tasks.
Before MIT, I received a BA in physics from Harvard.
My publications can be found here.