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Jessica Hullman is the Ginni Rometty Professor of Computer Science at Northwestern University. She completed her PhD in Information Visualization at the University of Michigan in 2013 and has since focused her research on the intersection of visual perception and computational methods for data analysis. Hullman’s work primarily investigates how visualizations can enhance understanding and facilitate decision-making in complex datasets. She has contributed to influential papers in notable conferences, including ACM CHI and IEEE TVCG, exploring topics like conformal prediction sets, information display design, and data visualization benchmarks. Hullman is recognized for her innovative approaches and has received several accolades in the field of data visualization and human-computer interaction.
Standard PhD requirements for TGS departments including Chemistry, Physics, and Sociology.