Seungjun Lee

Seungjun Lee is a Medical AI Research Scientist at VUNO Inc., where they focus on healthcare AI, particularly in anomaly detection. Prior to this role, they worked as a Machine Learning Engineer at MakinaRocks, developing solutions in deep learning for industrial AI applications. Earlier, at Asan Medical Center, they contributed to a publication in Nature Communications and created an AI triage system for brain CT scans that significantly improved diagnosis speed. Seungjun holds a Master's degree in Biomedical/Medical Engineering from the University of Ulsan College of Medicine and a Bachelor's degree in Naval Architecture and Ocean Engineering, with a minor in Mechanical Engineering, from Seoul National University.