I am a postdoctoral fellow at New York University’s Center for Social Media and Politics. I received my PhD in political science and scientific computing and MA in statistics at the University of Michigan. My research focuses on developing deep learning approaches that help social scientists extract information and patterns from text and images more effectively, such as incorporating domain knowledge in classification pipelines or analyzing multiple modalities simultaneously. I am especially interested in using these techniques to study social media.

News

• October 2022: Josh Tucker and I worked with Jennifer Valentino-DeVries on a part of a New York Times article using tools developed with lab members at CSMaP
• October 2022: Dictionary-Assisted Supervised Contrastive Learning, joint work with Richard Bonneau, Joshua A. Tucker, and Jonathan Nagler, is accepted to EMNLP 2022