Her research interests lie at or near the intersection of natural language processing, machine learning, linguistics, and social science. Her current research projects focus on multilinguality e.g., open vocabulary machine translation, polyglot models, entrainment in code switching, controllable text generation, automated negotiation, and NLP for social good e.g., identification of microaggressions and dehumanization in online interactions, identification of misinformation and agenda setting in news, predicting scientific misconduct. Prior to joining LTI, Yulia was a postdoc in the department of Computer Science at Stanford University she received her PhD from Carnegie Mellon University.