Kate Isaacs is an Associate Professor with the Scientific Computing and Imaging Institute and the School of Computing at the University of Utah. Prior to joining the SCI Institute, she was an Assistant Professor at the University of Arizona. She earned her Ph.D. from the University of California, Davis and holds Bachelors degrees in Computer Science and Mathematics from San José State University and Physics from the California Institute of Technology.
Dr. Isaacs' research focuses on visualization challenges in complex exploratory analysis scenarios such as those of active research teams. These challenges include representational and interactive scalability concerns for networks and timelines, integrating interactive visualizations in scripting workflows, and improving visualization methodologies for such projects. Kate has collaborated with researchers in high performance computing, distributed computing, data science, program analysis, optimization, and environmental planning.
- data visualization
- high performance computing