Summary
Sam Quinan is a Data Scientist with a Ph.D. in Graphics and Visualization from the University of Utah and over 15 years of experience applying mixed-methods UX research and analytics to real-world decision-making challenges. He specializes in designing and evaluating data visualizations that bridge academic guidance and domain practice, with a particular interest in how observability data can be structured to support diverse stakeholders. Sam has driven visualization and analytics work at organizations including Roblox and KLA, blending qualitative research, Figma prototyping, and custom charting in tools like Grafana and Superset to improve operational dashboards. His background in animation studios and medical UX informs a pragmatic focus on workflow-aware interfaces, and he often frames evaluation strategies to better reflect real-world judgments rather than idealized lab conditions.
15 years of coding experience
Bachelor of Arts (B.A.), Computer Science with Visual Arts Minor, Bachelor of Arts (B.A.), Computer Science with Visual Arts Minor at University of Chicago
Doctor of Philosophy (Ph.D.), Graphics and Visualization, Doctor of Philosophy (Ph.D.), Graphics and Visualization at Universty of Utah
English