I am most interested in the processes behind visualizing mathematical ideas as art. When discussing generative art, one of the most intriguing examples in my opinion is the art pieces that use physics in order to create very patterned and geometric pieces. Normally when we talk about natural generative art, there is a chaos and a flow that it’s associated with (branches/leaves on trees, etc.), but art pieces that utilize pendulum swings or even those spirographs you may or may not have played with as a kid. These are phenomena that occur naturally, and are just visualized.
I am interested in the intersection in this kind of art with computerized generated art. I am very intrigued by the ability to visualize very complex mathematical ideas that would not have been possible without computers or complex algorithms. I am also interested in the ways in which computers generate randomness themselves. I think there are artistic ways in which we can show the difference in outcome between true random and pseudorandom beyond the distributions of the processes. In addition, I think there are interesting ways in which pseudorandom can be pushed to its limits and have interesting results.
In addition, I am very interested in how machine learning can integrate with generative art. I am very interested in what patterns and results can come out of algorithms that have processed more data than one human can in one lifetime.
In short, I am interested in the patterns that can come out of generative art, and the insights we can gain from these patterns.