Her doctoral thesis won the Best Thesis Award from the Association for Machine Translation in the Americas; she now serves as a Research Director there.
Research Experience
She is a Senior Research Scientist at Google, working on the Gemini family of language models.
Education
She completed her Ph.D. in Computer Science at the University of Maryland, College Park, where she was a member of the Computational Linguistics and Information Processing (CLIP) lab. Her dissertation on detecting fine-grained semantic divergences to improve translation understanding won the Best Thesis Award from the Association for Machine Translation in the Americas, where she now serves as a Research Director.
Background
Her research focuses on how data quality and distributional structure shape intelligence, and how to create pluralistic alignment frameworks that reflect many cultures and languages. Her goal is to design AI that learns from everyone and serves everyone.