David Burlinson
Information Science

David Burlinson earned a PhD in computer science from the University of North Carolina at Charlotte and has spent the past nine years expanding his love of computer science and computational thinking. His focus has been on research related to visual encoding, visualization and visual analytics, environmental impact, and pedagogically-sound computer science education. He has a particular affinity for web application design and responsive, interactive interfaces and visualizations and has self-taught up and down the full stack. His favorite language is JavaScript. In his "spare time," he enjoys honing his cooking skills and playing real-time strategy games.



K. Wu, E. Petersen, T. Ahmad, D. Burlinson, E. S. Tanis, & D. Albers Szafir. 2021. Understanding Data Accessibility for People with Intellectual and Developmental Disabilities. (to appear) In Proceedings of the 2021 Conference on Human Factors in Computing Systems (CHI ‘21). (Yokohama, Japan–May 8-13, 2021) [Best Paper Award]. pdf.

David Burlinson Danielle Albers Szafir. 2020. Shape size judgments are influenced by fill and contour closure. In Proceedings of the Annual Meeting of the Vision Sciences Society, (St. Pete Beach, Florida (virtual) –June 19-24, 2020).