I am interested in the development of principled, rigorous evaluation and deployment practices. My work routinely unpacks and challenges practices and assumptions made when designing, evaluating, deploying or communicating about AI systems. I have over a decade of experience studying and evaluating a range of socio-technical systems, their limitations, and their impacts, and my work has shaped both policy, and production and research practices.
Currently, my research interests fall under two key areas (and their intersection): 1) rigor in AI, with a focus on establishing conceptual clarity and developing principled measurement and evaluation practices, and 2) human agency, with a focus on the design, behavior, perceptions, and impacts of anthropomorphic AI systems. My interdisciplinary approach to research, policy, and practice is shaped by a disciplinary-diverse background and research portfolio, including responsible and ethical AI, computational social science, HCI, NLP, ML, web/social media, and information retrieval.