Despite advances in automated algorithms and systems, human judgment remains indispensable in data analysis. Communication and storytelling also increasingly rely on carefully curated and analyzed data. The variety and volume of real-world datasets and the diversity of application scenarios, however, present many challenges for research on human-centered data science.
My research focuses on the design of human-centered tools for data analysis and communication. Taking a holistic approach, I am interested in the following problems: 1) what are the effective visual representation and interaction techniques for a given dataset and problem domain, 2) how to design expressive visualization authoring tools that offer rich creative opportunities without requiring specialized skills such as programming, and 3) how to provide scalable overviews of big data and to support interactive querying in real time.