Hi! I’m Arnie Seong, former poet & current PhD student in Statistics at the University of California, Irvine, working with Professors Michele Guindani and David Rossell. My research focus is on Bayesian methods for clustering and local inference on functional neuroimaging data, with the goal of identifying neural correlates to stimuli. In other words, I want to figure out which parts of your brain light up together, and for how long, when someone goes poke poke.

When I’m not doing stats, I enjoy hiking, skiing, poetry, teaching my sons science, and beer. My newest hobby is stealing my kids' toy instruments to play classical music; Bach on a mini ukulele is actually pretty rad!

Before pursuing stats and data science, I was a poet and college English instructor; if you like, you can see a poem here.

If you are interested in mixing data and music, check out datagoboop, an R package for data sonification that I wrote with fellow students Jaylen Lee and Sebastian Waz. If you make something with it, I’d love to hear what you create!