Welcome to Kims Biomed Lab

Prof. Woo-Jin Kim (Supervisor of NGS Experiment)

He holds both a Ph.D. in Molecular Genetics and a D.M.D. in Dental Medicine from Seoul National University. Additionally, he is a certified Attorney at Patent Law. With his diverse professional background, Dr. Kim is passionate about engaging in both dental medicine and molecular genetics research.
Since 2020, Dr. Kim has been serving as a Research Assistant Professor at the School of Dentistry at Seoul National University. In 2022, he joined Harvard Medical School and Brigham and Women's Hospital as a Postdoctoral Associate. He served as an assistant professor of pharmacology at Seoul National University Graduate School of Dentistry from 2024.
His previous experiences include working as a Postdoctoral Associate at the School of Dentistry at Seoul National University and as an Attorney at Patent Law at the R&DB Foundation at SNU.
His research interests include the epigenetic regulation of skeletomuscular tissue, protein delivery systems, the genetic regulation of osteogenic differentiation through chromatin conformational changes, and genetic diseases of the skeletal system such as cleidocranial dysplasia and craniosynostosis. Dr. Kim is committed to advancing our understanding of these topics and contributing to the development of innovative treatments and technologies in the field. .

Prof. Ki-Tae Kim (Supervisor of NGS Analysis)

He obtained a Ph.D. degree (Biomedical Informatics) from Seoul National University School of Medicine. Since 2021, Dr. Kim has been serving as a Research Assistant Professor at the School of Dentistry at Seoul National University.
He is conducting research that utilizes multi-omics genomics data with bulk and single cell on diseases to identify biomarkers associated with patient prognosis and severity through an informatics-based approach. His research has covered various diseases such as head and neck cancer, brain cancer, stomach cancer, metastatic cancer, chronic obstructive pulmonary disease, depression, post-traumatic stress disorder, ossification of posterior longitudinal ligament, and Alzheimer's disease, among others. He is deeply engaged in discovering disease-associated genomics, particularly novel NGS analysis pipelines with computational statistics and advanced machine learning with AI by combining clinical and variable genomic data. He continues to collaborate with diverse professionals, including physicians and experimental scientists from challenging disease, to produce impactful results.