I am a postdoctoral scholar in the computer science department, working with Dan Jurafsky and Dan McFarland. My research is at the intersection of machine learning, natural language processing, and computational social science, with a particular focus on text data. Broadly speaking, I am interested in what we can learn about society from the data that people produce, especially text. Some of my past work has focused on issues such as framing in the media, racial bias in hate speech detection, methods for low-resource text classification, and reproducibility in machine learning. Prior to coming to Stanford, I earned a Ph.D. in machine learning from Carnegie Mellon University, and before that I worked in pediatric neuroimaging at the Hospital for Sick Children in Toronto.