Cody Dunne

Cody Dunne is an Assistant Professor at Northeastern University’s College of Computer and Information Science and co-leads Visualization @ CCIS with Michelle Borkin. He works at the intersection of information visualization, network science, human-computer interaction, and computer science. Cody focuses on techniques for making data easier to analyze and share, as well as the application of visualization techniques to real-world problems. He is currently researching ways to improve the readability of network visualizations, designing temporal event sequence decision support tools for messy data, and developing the next generation of tools for visually exploring, sharing and collaborating around data and analysis workflows.

Some domains Cody has worked on include visualizing concepts and events from medical records, the spread of infectious diseases, citations in academic literature, interactions of people and organizations, relationships in archaeological dig sites, news term co-occurrence, thesaurus category relationships, municipal energy use and computer network traffic flow. Cody’s research interests include information visualization, visual analytics, graph & network visualization, data workflows, data & analytic provenance, human-computer interaction (HCI), and personal health informatics.

Prior to joining Northeastern, Cody was a research scientist in IBM Watson Health, IBM Watson, and IBM Research. Cody received his PhD and M.S. degrees in computer science under Ben Shneiderman at the University of Maryland Human-Computer Interaction Lab in 2013 and 2009, respectively. Cody earned a B.A. degree in computer science and mathematics from Cornell College in 2007.