Chris Bryan

Chris Bryan is an Assistant Professor in the School of Computing and Augmented Intelligence (SCAI) at Arizona State University (ASU), part of the Ira A. Fulton Schools of Engineering. He leads the Sonoran Visualization Laboratory (SVL @ ASU), focusing on data visualization, human-computer interaction, and advanced interfaces for data science. His research includes explainable AI, augmented/virtual reality, and privacy-preserving visualization techniques.

Educations:

• Ph.D. Computer Science, University of California, Davis (2018)
• B.S. Computer Science, University of Arkansas (2008)

Research Interests: Bryan’s work spans data visualization, human-computer interaction, explainable AI, and immersive visualization. He develops tools for collaborative analysis, privacy-aware systems, and visual analytics for complex data. Current projects involve VR/AR interfaces, bias reduction in NLP tasks, and educational visualization tools.

Recent Achievements:

• Recipient of the 2024 and 2023 Top Five Percent Faculty Award at ASU’s Ira A. Fulton Schools of Engineering.
• NSF grants for privacy-preserving visualization (SaTC #2224066) and visualization education (IUSE #2216452).
• Multiple publications in top venues like IEEE VIS, CHI, and EuroVis, including work on differential privacy, mind wandering in visualization, and LLM prompt exploration.

Advising & Grants:

• Advises Ph.D., MS, and undergraduate students on visualization and HCI research.
• Collaborates with institutions like Los Alamos National Laboratory, Phoenix Children’s Hospital, and Nankai University.
• Lab focuses on mentoring and preparing students for academic and industry roles in visualization and AI.

Labs & Teams: Leads the SVL @ ASU, which uses advanced hardware (HTC Vive, HoloLens 2) and tools like D3.js, React, and LaTeX. The lab emphasizes interdisciplinary projects with domain experts in medicine, engineering, and security.