Summary
Taylor Arnold is a professor and data scientist who applies corpus-based methods and software to study how messages are communicated through visual and multimodal time-based media like television and film. With a PhD in Statistics from Yale and over a decade of interdisciplinary research experience, Taylor bridges linguistics, statistics, epidemiology, information science, and media studies to study both production and reception of mediated messages. As Director of the Distant Viewing lab at the University of Richmond, they develop tools and pipelines for large-scale analysis of audiovisual corpora. Prior industry experience as a senior scientist at AT&T Labs and roles at IBM and Travelers underpin a pragmatic, production-aware approach to research software. Taylor’s work is notable for combining rigorous statistical modeling with practical software engineering to make multimodal data and methods reusable across fields. Based in Richmond, VA, they focus on reproducible, collaborative projects that translate complex media phenomena into quantifiable insights.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Yale University
Bachelor of Arts - BA, Mathematics, Bachelor of Arts - BA, Mathematics at Bowdoin College