Donghyuk Lee

During my time at science high school, I conducted various research activities combining graph theory and genetics. Specifically, I developed a screening model that rapidly predicts diabetes based on the 5hMC methylation pattern of circulating cell-free DNA (cfDNA). Additionally, under the guidance of Professor Jin-Soo Seo (Yonsei university, Seo Lab), I conducted research using graph perturbation theory to elucidate the correlation between the ApoE4 genotype (a causative gene for Alzheimer's disease) and lipid rafts from a metabolic perspective. Beyond this, I have made diverse attempts to integrate various machine learning techniques, such as GANs and LLMs, into biotechnology research.

I also possess wet lab research experience. During my sophomore year of high school, I conducted research in Professor Yoon's lab at KAIST (Yoon Lab) on elucidating cell-specific transcriptomic dynamics during human brain organoid development. During this research, I had the opportunity to use confocal imaging, which sparked my interest in imaging and processing techniques. Consequently, I am currently pursuing personal studies related to optics.