My research focuses on topics in visualization, data analytics, and computer graphics driven by real-world challenges. Below is a sample of on-going projects in my research lab. For more information about these projects or others, please contact me. A complete list of publications can be found here.
![]() |
Our understanding of visualization design is conventionally based on how well people can compare pairs of points. As people face more and more data, visualization must move beyond small-scale design thinking to understand how design might support people in understanding large collections of datapoints. Drawing from psychology, this work seeks to understand how people estimate properties across collections of points in a visualization (a process known as visual aggregation) through experimentation, and how visualizations might be designed to support these judgments. The results from these efforts have driven scalable systems in domains ranging from biology to the humanities. Funding: National Science Foundation, Department of Health & Human Services Example Publications: |