Faculty Directory

Matthew Kay

Assistant Professor of Computer Science

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Computer Science

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Research Interests

Matthew Kay is an Assistant Professor jointly appointed in Computer Science and Communications Studies at Northwestern University. He works in human-computer interaction and information visualization; more specifically, his research areas include uncertainty visualization, personal health informatics, and the design of human-centered tools for data analysis. His current research is funded by multiple NSF awards, and he has received multiple best paper awards across human-computer interaction and information visualization venues (including CHI, InfoVis, UbiComp, and MobileHCI). He co-directs the Midwest Uncertainty Collective and is the author of the tidybayes and ggdist R packages for visualizing Bayesian statistical model output and uncertainty. For more information, visit his website.

Selected Publications

• Pu, Xiaoying; Kay, Matthew; Drucker, Steven M.; Heer, Jeffrey; Moritz, Dominik; Satyanarayan, Arvind, Special Interest Group on Visualization Grammars, Association for Computing Machinery.
• Kale, Alex; Kay, Matthew; Hullman, Jessica, Visual reasoning strategies for effect size judgments and decisions, IEEE Transactions on Visualization and Computer Graphics 27(2):272-282.
• Ondov, Brian D.; Yang, Fumeng; Kay, Matthew; Elmqvist, Niklas; Franconeri, Steven, Revealing Perceptual Proxies with Adversarial Examples, IEEE Transactions on Visualization and Computer Graphics 27(2):1073-1083.
• Padilla, Lace M.K.; Powell, Maia; Kay, Matthew; Hullman, Jessica, Uncertain About Uncertainty, Frontiers in Psychology 11.
• Masters, Nina B.; Eisenberg, Marisa C.; Delamater, Paul L.; Kay, Matthew; Boulton, Matthew L.; Zelner, Jon, Fine-scale spatial clustering of measles nonvaccination that increases outbreak potential is obscured by aggregated reporting data, Proceedings of the National Academy of Sciences of the United States of America 117(45):28506-28514.