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Complex data become easier to investigate when researchers can see and interact with their structure. Kaufman works in computer graphics and visualization, including methods for displaying volumetric and scientific data. His interests extend to interfaces, virtual reality, multimedia, and medical imaging. Current university research profiles highlight work combining virtual reality and machine learning with three dimensional virtual pancreatography for pancreatic cancer research. As director of the Center of Visual Computing, he connects visual computing methods with applications that help researchers examine and interpret complex information.
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