Principal Investigators

Our Research Leaders

Two PIs with complementary expertise in molecular genetics and biomedical informatics — united by a passion for decoding biology at genomic scale.

Prof. Woo-Jin Kim
Seoul National University Harvard Medical School Brigham & Women's
Supervisor of NGS Experiment

Prof. Woo-Jin Kim

Assistant Professor of Pharmacology · SNU Graduate School of Dentistry

Prof. Kim holds both a Ph.D. in Molecular Genetics and a D.M.D. in Dental Medicine from Seoul National University, and is additionally a certified Attorney at Patent Law. His diverse background fuels a uniquely interdisciplinary approach to dental medicine and molecular genetics research.

Since 2020, he served as a Research Assistant Professor at SNU School of Dentistry. In 2022, he joined Harvard Medical School and Brigham and Women's Hospital as a Postdoctoral Associate — bringing world-class expertise back to Seoul National University. From 2024, he serves as Assistant Professor of Pharmacology at SNU Graduate School of Dentistry.

His research focuses on 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 including cleidocranial dysplasia and craniosynostosis.

Research Keywords
Molecular Genetics Epigenomics Osteogenic Differentiation Chromatin Remodeling Protein Delivery Skeletal Diseases Patent Law
Prof. Ki-Tae Kim
Seoul National University SNU Medical School
Supervisor of NGS Analysis

Prof. Ki-Tae Kim

Research Assistant Professor · Seoul National University School of Dentistry

Prof. Kim earned his Ph.D. in Biomedical Informatics from Seoul National University School of Medicine. Since 2021, he has been a Research Assistant Professor at SNU School of Dentistry, driving the lab's computational and AI-driven research agenda.

His work spans a broad disease landscape — head and neck cancer, brain cancer, gastric cancer, Alzheimer's disease, COPD, depression, PTSD, ossification of posterior longitudinal ligament — always through the lens of multi-omics genomics data at both bulk and single-cell resolution, identifying biomarkers linked to patient prognosis and disease severity.

He is deeply engaged in developing novel NGS analysis pipelines powered by computational statistics, machine learning, and deep learning — integrating clinical and variable genomic data. He actively collaborates with physicians, experimental scientists, and clinicians worldwide to translate bioinformatic insights into real-world impact.

Research Keywords
Biomedical Informatics scRNA-seq Spatial Transcriptomics Deep Learning Cancer Genomics Alzheimer's Disease Multi-Omics Biomarker Discovery