Summary
Danielle Szafir is an Associate Professor of Computer Science specializing in perceptual computing and scalable visualization design, leveraging nine years of academic and industry experience to make complex data more interpretable. Her research combines perceptual psychology with visualization techniques to support visual comparisons of large, heterogeneous datasets, with applied collaborations spanning biology, the humanities, and industry partners like Tableau and Google. She has a strong background in building perceptually-motivated visualization systems and prototypes, informed by hands-on internships that ranged from cloud-based analytics to visualization color studies. Based in Boulder, Colorado, she maintains an active research program at UNC-Chapel Hill and brings a rare blend of rigorous experimental methods and practical system-building to visualization problems.
10 years of coding experience
6 years of employment as a software developer
Bachelors, Computer Science, Bachelors, Computer Science at University of Washington
Ph.D., Computer Sciences, 3.8, Ph.D., Computer Sciences, 3.8 at University of Wisconsin-Madison