I develop human-centered artificial intelligence (HCAI) systems that combine automated computational guidance (AI, ML, stats) with interactive data visualizations to enhance our ability to understand complex data. My research spans the full spectrum of data science, including interactive data visualization, AI/ML, statistical analysis, human-computer interaction, visual perception, and data management. The techniques and systems that arise from my work are applied in the context of many data-rich, domains, such as finance, wealth management, additive manufacturing, climate science, materials science, national security, text mining, explainable AI, quantum computing, 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.
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