Research interests include causal inference, Bayesian modeling, end-user programming, data visualization, and data science education
Seeking PhD students interested in HCI, statistics/data science, and programming languages
Especially encourages applicants with non-CS backgrounds
Research mission: empower anyone to effectively use technology and data to learn and make informed decisions that advance society
Focuses on understanding real-world users, designing usable abstractions, and developing interactive reasoning approaches for data-informed decisions
Currently focused on supporting scientists through computational abstractions that promote valid analysis, robust experimental design, and transparent reporting