I am currently Ginni Rometty Professor of Computer Science and Faculty Fellow at the Institute for Policy Research at Northwestern University.

My research develops interface tools and theoretical frameworks for helping people combine their knowledge with statistical models, in settings ranging from scientific research to use of predictive models for policy decisions to everyday scenarios like election forecasting. I work between theory and application, grounding my contributions in formal models of rational inference such as Bayesian decision theory while addressing real world applied problems. My current interests include designing to achieve human-AI complementarity and quantifying and expressing prediction uncertainty. I maintain an active interest in metascience and statistical reform.

My work has been awarded with multiple best paper and honorable mention awards at top visualization and HCI venues, a Microsoft Faculty award, a Google Faculty award, and NSF CAREER, Medium, and Small awards as PI, among thers. I frequently speak and blog on topics related to uncertainty quantification, data-driven decision making and interactive interfaces.