Building foundation models for large-scale, multimodal scientific data.
I am an AI Research Scientist at Lunit Inc., where I build large-scale vision foundation models for digital pathology. My work focuses on developing robust self-supervised methods and scalable architectures to learn dense feature representations from gigapixel-scale biomedical data.
I completed my Master's degree at the KAIST Graduate School of AI as a recipient of the prestigious KAIST Global Presidential Scholarship. Advised by Prof. Ye Jong Chul in the Bio-Imaging, Signal Processing & Learning Lab (BISPL), my research centered on creating foundation models for Cell Painting assays. Concurrently with my full-time studies, I served as a consultant for Institut Pasteur Korea, continuing to drive key projects.
My work at KAIST followed my full-time role as a Data Scientist within the Pasteur International Unit AI3D, a joint initiative between Institut Pasteur Paris (mentored by Dr. Christophe Zimmer) and Institut Pasteur Korea (mentored by Dr. Spencer Shorte). In this role, I designed and deployed the core computer vision pipelines for high-content screening to accelerate drug discovery.