I lead the minds, machines, and society group at Dartmouth, part of the machine learning lab in the Department of Computer Science. My main interests lie at the intersection of natural language processing, machine learning, network science, and social media analytics. I am especially interested in computational social science, developing computational tools (with a significant focus on NLP tools) to study social systems and issues such as political polarization, propaganda, bias, rumors, mental health, and hate speech. The methods we study cover various technical topics, from style transfer and psycho- and socio-linguistic models to few-shot learning, prompt-based methods, and data augmentation. We are also particularly interested in studying the bias, morality, and interpretability of foundation language models that have revolutionized NLP and that our research relies on. I am a faculty member of the Institute for Security, Technology, and Society (ISTS) and a faculty affiliate of the Quantitative Social Science (QSS) and the Quantitative Biomedical Sciences (QBS) programs at Dartmouth. Previously I was a postdoc at MIT, a fellow at the Berkman Klein Center at Harvard University, and a technical advisor to the non-profit startup Cortico.