About Me

I am currently an assistant professor in the Department of Mathematical Sciences at the Korea Advanced Institute of Science and Technology (KAIST). Previously, I was a ML scientist at AWS AI Labs. Before that, I was a Neyman Visiting Assistant Professor in the Department of Statistics at UC Berkeley, where I was very fortunate to be supervised by Bin Yu. Prior to that, I was a Postdoctoral fellow at UC Berkeley’s Foundations of Data Analysis (FODA) Institute and Berkeley Institute for Data Science (BIDS). I obtained my PhD in Statistics at the University of Chicago where I was very fortunate to be advised by Rina Foygel Barber. My PhD research was supported by Kwanjeong Fellowship.

My research is centered on high-dimensional statistics and machine learning, with a focus on sparse and low rank optimization, local graph clustering, and interpretable machine learning, and domain adaptation under distribution shifts. I am also interested in the applications of statistical and optimization methods to diverse scientific areas such as medical imaging, population genetics, and cosmology.


The University of Chicago

Seoul National University

Preprints / Publications

Extended Abstracts