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Making Sense of Data

We create computational systems to understand and perceive salient dimensions of data. Using a combination of data science including data analytics, intelligent computing, and machine learning, coupled with an understanding of human cognition, perception and ergonomics, we verify, disprove, and explain scientific models, theories and hypotheses. We communicate our results through integrative quantitative data analysis as well as qualitative interpretations such as scientific visualizations, sonifications, and extended reality (XR) displays.