My research focuses on improving the interpretability and trustworthiness of ML models. I develop interactive visualization tools for visually analyzing model decision-making, and interpretability methods for understanding and controlling model behavior.

I am pursuing a PhD in EECS at MIT, working with Mitchell Gordon. I am fortunate to be supported by the NSF Graduate Research Fellowship.