I’m a graduate student at UC San Diego, where I did my bachelors too. I’m advised by Professor Zhuowen Tu and Professor Julian McAuley.

My main research interests are world models and interpretability. I’m particularly interested in building environments where an agent has to learn a latent representation of the world's dynamics.

I believe understanding the causal structure encoded in these learned world models is crucial for building agents that can reason about interventions, generalize beyond their training environments, and move closer toward more general forms of intelligence.

I’m currently doing some research in collaboration with Adobe.

I worked on post-training vision language models at Typeface this summer.

I also worked as a machine learning engineer at Tesla.