About me

I am a PhD student in Statistics at UC Berkeley, where I am advised by Aditya Guntuboyina. Previously, I received my BS in Mathematics from Seoul National University.

My research focuses on understanding modern machine learning methods through the lens of nonparametric estimation. I am also broadly interested in nonparametric statistics, especially variation denoising/regularization and shape-constrained estimation.