Dr. Wang received her Ph.D. in Computer Science from Duke University in 2010. There, she also earned a certificate in Computational Biology and Bioinformatics. She was a postdoctoral fellow from 2010 to 2011, and a research scientist from 2011 to 2016, both at the SCI Institute, University of Utah.
Her research expertise lies in the theoretical, algorithmic, and application aspects of data analysis and data visualization, with a focus on topological techniques. In particular, her research leverages topological data analysis, which provides a strong theoretical basis for transforming large, complex data into compact, structure-highlighting representations. Such representations connect naturally with and provide infrastructures for data visualization, and inspire the rethinking of interactive data exploration to facilitate analytical reasoning. Her research interests include scientific visualization, information visualization, computational topology, computational geometry, computational biology and bioinformatics, machine learning, and data mining. Dr. Wang's research has been recognized by multiple best paper awards at international conferences.
Critical point cancellation for 3D vector field visualization
For more information, contact:
Chris Johnson, Ph.D.
Director, Scientific Computing
and Imaging Institute
University of Utah