About Me

I am a fourth year PhD student at MIT EECS, where I am grateful to be under the guidance of Professor Nir Shavit as a member of the Shavit Lab. Prior to my graduate studies, I received my BA in computer science and in neuroscience from Columbia University, where I conducted research at the Peter Sims Lab.

I am curious about the internal mechanisms of large language models, from individual neurons to distributed feature representations, and how they can inform more efficient computation. I use mechanistic interpretability to uncover these principles, motivated by a broader interest in computation across both artificial and biological neural systems.

My research is supported by an IBM AI Research Grant.

News

Selected Works

You can also find my articles on my Google Scholar profile.
* denotes equal contribution, † denotes co-correspondence