Contact: angelica.chen@nyu.edu
Bio: Angelica Chen is a PhD student at the NYU Center for Data Science, advised by Kyunghyun Cho and Sam Bowman. She is broadly interested in natural language understanding and model robustness and generalization. Prior to NYU, Angie worked on neural semantic parsing research at Google NYC and graduated with high honors from Princeton University with a Bachelor’s degree in Computer Science. While at Princeton she worked with Professor Sebastian Seung on her undergraduate thesis, titled “Prediction of depression and suicidality from social media activity using deep neural networks.” Outside of her research, Angie enjoys running and baking pastries.