Welcome to the VACLab

The Visual Analysis and Communication Laboratory (VACLab) conducts research at the intersection of interactive visualization, human-computer interaction, and machine learning. Led by Dr. David Gotz, the VACLab develops new methods of interactive visualization to support more efficient, effective, and intuitive information analysis and communication. The VACLab also studies how these new methods are used within the context of a wide range of domain application areas, both to learn why existing methods work and to discover new opportunities for scientific advancement. Many recent research projects have focused on healthcare and life science applications, though the lab’s research is not limited to these areas.

Student Research Opportunities

The VACLab team includes an inter-disciplinary group of student researchers. The VACLab has hosted students from a variety of majors (including Information Science, Computer Science, Health Informatics and Biostatistics) and levels of training (including undergraduate, Masters and PhD students). Are you intersted in this kind of work? Click here to learn more about student research opportunities.

VACLab News

VACLab at IEEE VIS 2022: Three Papers, a Poster, and a Panel

VACLab researchers are sharing their research throughout the week at IEEE VIS 2022, the premier international conference for …

New Article on Content Recommendation Design to Appear at IEEE VIS and in IEEE TVCG

VACLab-er Zhilan Zhou is first author for a new article that characterizes the design space for content recommendation within visual …

New NSF Grant to Study Visualization and Causal Inference

VACLab members David Gotz and David Borland have secured a new award from the National Science Foundation (NSF) to study visual causal …