I am a first year PhD student at NYU working with Todd Gureckis in the Computation and Cognition Lab. I study human and machine intelligence applied to language processing and decision making.
Previously at Princeton, I completed my Bachelor of Science in Computer Science with certificates in Applied Math and Cognitive Science. My senior thesis was advised by Tom Griffiths and used iterated learning to probe the inductive biases of CNNs. Following, I continued my research in the Carpenter-Singh lab at the Broad Institute of MIT and Harvard, where I applied graph neural networks to identify drug targets. I have also worked on AI security and LM red teaming research.
Key interests: machine learning, cognitive science, AI
Enjoy photos from my favorite sunrise hikes as you browse through:
- my Publications,
- my Thoughts,
- and my CV.