Hello! I am a PhD student in Computer Science & Engineering at the University of Washington, and am advised by Noah Smith. My research mainly focuses on topics related to interpretability and explainability of natural language processing models, although I'm also interested in model evaluation and NLP for social science.

"Troubles in Text: Using Natural Language Processing to recognize government rationalizations for human rights abuses." Sarah K. Dreier, Sofia Serrano, Emily K. Gade, Noah A. Smith. Working paper.

"All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text." Elizabeth Clark, Tal August, Sofia Serrano, Nikita Haduong, Suchin Gururangan, Noah A. Smith. ACL 2021. [pdf]

"Is Attention Interpretable?" Sofia Serrano and Noah A. Smith. ACL 2019. [pdf]

"The partisan dimensions of religious rhetoric: Merging qualitative and natural language processing approaches to measure Congressional behavior." Sarah K. Dreier, Lucy H. Lin, Sofia Serrano, Emily K. Gade, Noah A. Smith. Working draft; presented at Text as Data (2018) & Conference on Politics and Computational Social Science (2019).

Winter 2023 — Instructor for CSE 447: Natural Language Processing

Autumn 2022 — Gave two guest lectures covering text classification for CSE 447/517: Natural Language Processing.

Winter 2022 — Gave a guest lecture on interpretability for NLP for CSE 447/517: Natural Language Processing.

Autumn 2021 — Gave a guest lecture on transformers and BERT for POLS 585: Qualitative and Quantitative Approaches to Text-as-Data (Emory University).

Winter 2021 — Teaching Assistant for CSE 447/517: Natural Language Processing.

Winter 2020 — Teaching Assistant for CSE 517: Natural Language Processing.