I am a PhD student at CMU in the Language Technologies Institute (LTI) advised by Mona Diab. I am interested in building responsible and controllable NLP systems through understanding the internals of language models with an eye towards steering their generations in a reliable, trustworthy, and efficient manner. I also have experience working on large language model initiatives such as BLOOM and am currently involved in the OLMo initiative at AI2.
Before CMU, I was a predoctoral researcher at The Allen Institute for Artificial Intelligence on the AllenNLP team, where I worked with Matt Peters on controllable text generation and steering language models. I also collaborated with Margaret Mitchell and Sasha Luccioni on personal information in large web corpora. I am also an NLP researcher affiliated with Masakhane, an open source and distributed research effort for NLP for African languages. I have also spent time in industry working on controlling language models, document understanding, optical character recognition, fake speech detection, and speech syntehsis at different companies in both an applied and research context. I completed my MS in Computer Science at the Courant Institute at NYU in the CILVR group focusing on deep learning applied to NLP. I also completed my B.A. in Statistics and M.S. in Computer Science focusing on ML and NLP at Northwestern University working with Doug Downey.
Broadly, my research interests are:
- Natural Language Processing
- Responsible NLP
- Causality
- Controllable Text Generation
- Model Editing
- Efficient NLP
I follow both international and club football (soccer), NBA basketball, and professional tennis very closely. I’m a huge supporter of Borussia Dortmund from the German Bundesliga.
