My research primarily focuses on developing statistical methods for multiple testing problems, mainly on false discovery rate (FDR) control and gene expression data. I am currently developing methodologies for multi-omics data, utilizing advanced technologies such as single-cell RNA-seq and spatial transcriptomics. I earned my Ph.D. in Statistics from Iowa State University under the guidance of Dr. Dan Nettleton. Before joining UH, I was a postdoctoral researcher in Dr. Dongjun Chung's lab at The Ohio State University.
My interest in statistics began with Dr. Jinook Jeong's class at Yonsei University, where he described statistics as a discipline to "hear the voice of data." This idea inspired me to pursue this field. As a statistician, uncovering overlooked factors and supporting research through data-driven insights is the most exciting aspect. I aim to continue contributing to the academic community and advancing our understanding by focusing on solving real-world problems that demand innovative and analytical approaches.