I am a first-year PhD student at UC Berkeley advised by Dan Klein and Dawn Song. I work on Machine Learning, Deep Learning, and Natural Language Processing as part of Berkeley NLP and BAIR.
My current research focuses on interpreting, attacking, and understanding machine learning models. For example, understanding when and why neural models fail , designing new interpretation methods , and crafting adversarial attacks for NLP systems .
I did my undergrad at the University of Maryland, where I worked with Jordan Boyd-Graber. I spent most of 2019 working at AI2 with Matt Gardner and Sameer Singh.