Inspiration

While I’ve explored many different data sets and visualizations, I continuously find inspiration in the power of algorithmic generation from random points and how we can find sets of beauty in the sea of infinite possibilities.

Gravity - images

Towards the beginning of my formal Computer Science studies, I was tasked with creating parallel algorithms for Mandelbro fractal generation in a problem set. Fascinated by their beauty, I went searching for other unique mathematical models to study. I landed upon the Ikeda Map and went to work creating a structure to randomize points following the map. While there are infinite random possibilities, here are some of my favorites. Select physical copies will be on display in the Harvard Art Galleries.

Mapmaking - images

When I first set out into the world of package development, I was interested in mastering GIS tooling in R - after all, this easily accessible data was untouched for me during my education and I had the curiosity that comes with peering into a new topic. I decided to tackle the creation of street, star, and topographic maps, interested in their clean lines and interesting patterns.

Waves - images

And Dots - images

My first exploration into algorithmic art generation was seeking to showcase sine waves and ‘bubbles’. Inspired by the simplicity of repetitiveness, I took a liking to further developing their patterns to add artistic depth.