Steven Geofrey is a Front-End Software Developer with the Growth Lab. As a research-practitioner in data, design, and computation, Steven’s work is heavily informed by his interdisciplinary background in the natural sciences (biophysics), humanities (Japanese studies), and social sciences (media and information literacy). Through his research and creative practice, Steven explores themes of representation, narrative, language, and human experience, seeking to address the varied possible responses to one question in particular: What does it mean to employ visualization as a medium in which radical representation can deconstruct privileged, canonical, and dominant perspectives? To explore this, Steven’s work focuses primarily on the use of data visualization, computation, and design to investigate texts, where a “text” is anything that can be read and interpreted, serves as a set of coherent signs and symbols, and functions as something that is situated and composed: novels, poetry, song lyrics, film screenplay, musical score, cinematography, historiography, urban layout, archival data, the visual design of websites, and beyond.