About me

Hi! I am a postdoctoral research fellow in the Biostatistics Department of the University of Michigan, under the supervision of Dr. Irina Gaynanova.

I’m generally interested in analyzing complex data arising in practice. In my Ph.D. work, I have primarily worked on compositional data analysis, including variable selection, interpretable dimension reduction, and predictive model development. I’ve also started working on continuous glucose monitoring (CGM) data with Dr. Gaynanova.

I earned my Ph.D. in Mathematical Sciences, specializing in compositional data analysis and statistical learning, under the guidance of Professors Cheolwoo Park and Jeongyoun Ahn. Before that, I worked in the field of algebraic geometry under the supervision of Professor Sijong Kwak until the summer of 2021.

I enjoy coffee , , running, and singing :).

Here is my CV (last updated: Aug 2024)