I am an Assistant Professor and member of the founding faculty of the Department of Information Science at the University of Colorado Boulder and direct the CU VisuaLab. I also hold an appointment in the Department of Computer Science and am a Fellow in the Institute of Cognitive Science and the ATLAS Institute. My research sits at the intersection of information visualization, data science, computer graphics, and cognitive science.

Along with a team of fantastic students and collaborators, I look at the relationship between cognition and visualization design—how does visualization design enable people to better understand and engage with data? How can visualization support accurate analysis in the face of increasingly large datasets? How might visualization systems provide more accurate insights? How can visualizations leverage immersive technologies to bridge spatial and temporal gaps in analysis? Through this process, I develop interactive visualization systems, guidelines, and techniques for exploring large, complex data. This work has inspired collaborations across a variety of domains including genomics, bioinformatics, the humanities, biochemistry, and perceptual psychology.

I received my Ph.D. in Computer Sciences as part of the Visual Computing Lab under Prof. Michael Gleicher. I completed my B.S. in Computer Science at the University of Washington in 2009 as a NASA Space Grant Scholar and my M.S. in Computer Sciences at the University of Wisconsin-Madison in 2011 as part of the joint UW-Department of Energy BACTER Institute. My broader research interests include graphics and visualization, human-computer interaction, color science, visual data mining, interactive machine learning, and perceptual science.

If you're interested in a project, please reach out to me. Always happy to chat!



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 News & Updates


7.2018: Received two NSF MEDIUM grants to study visual analytics tools for qualitative analysis (w. Brubaker, Fiesler, and Paul) and for situated emergency response (w. Szafir and Heckman).

07.2018: "Where's My Data? Evaluating Visualizations for Missing Data" (w. Song) accepted to IEEE VIS 2019.

07.2018: "The Good, the Bad, and the Biased: Five Ways Visualizations can Mislead (and How to Fix Them)" appeared on the cover of ACM Interactions.

5.2018: Song defends her M.S. thesis in visualizing missing data. Congrats, Hayeong!

05.2018: Presented work on color perception in visualization at the Vision Science Society Annual Meeting.

 Upcoming Travel


9.20: Tufts University
Boston, MA

10.21-10.26: IEEE VIS
Berlin, Germany