Jessica Hullman

Jessica Hullman is Ginni Rometty Associate Professor of Computer Science at Northwestern University. Her research addresses challenges and limitations that arise when people draw inductive inferences from data. Her work has contributed visualization and interaction techniques decision-making and analysis, as well as theoretical frameworks for understanding the role of visualization in statistical workflow. Jessica’s work has been awarded best paper awards at top visualization and HCI venues, a Microsoft Faculty award, and NSF CAREER, Medium, and Small awards as PI, among others.