Research Interests
My research area is the statistical inference on networks & graphs. For my studies, I use applied probability (e.g., concentration inequality and high-dimensional statistics communities), the Bayesian approach (e.g., Variational Bayes community), and computer sciences (e.g., network sciences, machine learning theory, and optimization communities)
Research Description
(Working Title) Hypothesis Testing on Networks via a Kernel Function, in preparation
(Working Title) The MLSBM on the Heterogeneous Networks, in preparation
(Working Title) The Feature-Based MMSBM on the Heterogeneous Networks, in preparation
Education
Ph.D. program in Statistics (ongoing), UIUC
M.S. in Statistics, Seoul National University
B.S. in Mathematical Sciences, KAIST
Awards and Honors
Departmental Award, Bohrer Workshop, Department of Statistics, UIUC
Block Grant, University Fellowship for Doctoral Students, UIUC