I develop visual analytics systems that combine automated computational guidance with interactive data visualization to enhance human exploration and comprehension of complex data. My research spans the full spectrum of data science, including interactive data visualization, statistical analytics, human-computer interaction, visual perception, and data management. The techniques and systems that arise from my research are applied in the context of many data-rich, scientific domains, such as additive manufacturing, climate science, materials science, national security, text mining, explainable AI, finance, health care, and cyber security.

My projects usually begin with domain experts who need to analyze a complicated data set that exceeds the capabilities of ordinary data analysis tools. Working closely with the experts, I design new methods using the latest advances in visual analytics. These methods often feature new visual representations of data, new human interaction techniques, and automatic computational guidance that guide users to the important patterns. Methods are combined to produce tools in close collaboration with end users. As the tools evolve, updated releases are deployed and evaluated in real-world data analysis scenarios.

enhanced parallel coordinates illustrative visualization of hurricane advisories Java ray tracer showing Perlin noise texture on a sphere Top 500 stream graph
EDEN on EVEREST waterfall visualization for time series data