My work explores the relationship between chance, randomness, probability and the natural human impulse to seek visual structure. With influences as diverse as Piet Mondrian, Vilmos Huszár, and Bart van der Leck of the Dutch neoplasticism (Nieuwe Beelding in Dutch) movement of the early 20th century and contemporary artist Damien Hirst, my goal is to explore these connections through digital art, marrying aesthetic principles with data visualizations generated using statistical computing software and pseudo-random number generation.
While pursuing my Ph.D. in statistics, I became fascinated by the endless random variability inherent in our world and the instinctual order that is sought by our brains. While my work concentrates on randomness, there is always a contextual structure at play. The appearance of chaos vs. order depends heavily on the scope of the viewer. I’m interested in the juxtaposition of apparent chaos resulting from limited perspective with structure that fundamentally exists only when something is viewed as a collective whole.
Today such buzz terms as “big data” and “data mining” reflect the root concept of this work that patterns are only apparent when viewed completely, and individual or small bits of information give only an incomplete notion of the whole. I argue that the individual is analogous to statistics in that each individual has limited perspective and consequently many things appear to the individual to have no order. Statistical ideas allow one to learn, in a principled manner, about a larger part of the collective picture thus exposing some of the underlying structure and making sense of the world.