Welcome!
I am a postdoctoral research fellow in the Biostatistics Department of the University of Michigan, working with Dr. Irina Gaynanova.
I am interested in developing interpretable methods for analyzing non-Euclidean data. My research keywords and application targets (in parentheses) include:
- Distributional data analysis, optimal transport (wearable device data)
- Compositional data analysis, dimension reduction (microbiome data)
- Statistical machine learning, kernel methods
I earned my Ph.D. in Mathematical Sciences under the guidance of Professors Cheolwoo Park and Jeongyoun Ahn at KAIST. Before working on statistics, I was a research assistant in 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: July 2026)
Awards
- IMS New Researchers Travel Award (2026)
- IMSI Long Program visit, Connectomics (2026)
- Best Ph.D. Dissertation Award, Korean Statistical Society (2025)