Daniel Szafir

Total Papers
2
HCI Rank
#8641
Research Areas
6
Years Active
1

Personal Information

  • KeywordsInformation VisualizationPerception ScienceData Visualization DesignAugmented RealityUser Experience
  • OrganizationUniversity of North Carolina at Chapel Hill
  • EducationUniversity of Wisconsin-Madison
  • Emaildanielle.szafir@cs.unc.edu

Social Media & Links

Biography

Danielle Albers Szafir is a computer scientist specializing in information visualization and serves as an Associate Professor in the School of Information and Library Science at the University of North Carolina at Chapel Hill. Her research integrates visual perception and data visualization, aiming to design innovative systems for processing complex, large-scale datasets. Her work spans multiple fields, including biology and the humanities, focusing on solutions to overcome scalability and interpretability limitations in current data visualization designs. Her research has been published in numerous top academic journals and conferences, significantly shaping design practices in data presentation.

Work Experience

  • 2020–Present·University of North Carolina at Chapel Hill·Associate Professor
    • Researched visualization challenges in information science, optimizing data presentation through user perception.
  • 2017–2020·University of North Carolina at Chapel Hill·Assistant Professor
    • Founding faculty in the School of Information and Library Science, advancing curriculum development and research in data visualization.
  • Research Intern | Tableau Research | Researcher
    • Collaborated with Vidya Setlur and Maureen Stone on studies involving the interaction of color, tasks, and data, resulting in multiple published papers.

Education

  • 2010–2015·University of Wisconsin-Madison·Ph.D.
    • Field of Study: Computer Science
  • 2008–2010·University of Wisconsin-Madison·M.S.
    • Field of Study: Computer Science
  • 2004–2008·University of Wisconsin-Madison·B.S.
    • Major: Computer Science

This biography was generated by AI from publicly available information and may contain delays or inaccuracies.

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