I am a Ph.D. candidate in Technology and Social Behavior, a joint Ph.D. program in Computer Science and Communication at Northwestern. I work with Prof. Jessica Hullman at Midwest Uncertainty Collective (MU Collective).
My research investigates effective means to communicate uncertainty in model predictions related to social networks and strategic settings. Specifically, how can we better understand probabilistic graphs where the occurrences of relational events generated from the data or predicted by graph models are subject to uncertainty, and how to communicate model predictions to help people make more informed strategic decisions in networks where an agent's ability to best respond to predictions depend on the agent's ability to anticipate how other agents will act based on their understandings. I tackle problems using a data-driven approach, modeling network events, designing effective information displays, and conducting large-scale online experiments.
Before starting my doctoral study at Northwestern, I received a B.A. in Economics and a B.A. in Statistics from UC Berkeley and later an M.A. in Computational Social Science from UChicago. You can find my CV here.