Her work has been awarded multiple best paper and honorable mention awards at top visualization and HCI venues. Chosen as a Microsoft Faculty Fellow (2019), and funded by NSF CAREER, Medium, and Small awards, among others. Frequently speaks and blogs on topics related to uncertainty quantification, AI/ML decision making, statistical modeling, and human-computer interaction.
Research Experience
Currently Ginni Rometty Professor of Computer Science and Faculty Fellow at the Institute for Policy Research at Northwestern University. Works between theory and application, grounding contributions in formal models of rational inference such as Bayesian decision theory while addressing real-world applied problems.
Background
Ginni Rometty Professor, Computer Science. Fellow, Institute for Policy Research, Northwestern University. The goal of her research is to transform how people combine their knowledge with statistical models by developing theoretical frameworks, methods, and interactive visual interfaces, especially in AI and ML-assisted decision-making and scientific research and data analysis. Current interests include designing to achieve human-AI complementarity, quantifying and expressing prediction uncertainty, and LLM use in behavioral science.
Miscellany
Maintains an active interest in metascience and statistical reform.