Seoul, South Korea
As a scientist studying interactions, I have investigated interconnected systems across various scales—ranging from elementary particles and atoms in physics to chemical molecules, and to proteins and cells in living organisms—grounded in fundamental and network science. I have accelerated my research through computational science, including numerical analysis and massively parallel processing, and quantified real-world problems through data science by leveraging large-scale parameter models. By translating and appropriating multidisciplinary scientific theories and cutting-edge technologies, I have resolved various field challenges. Currently, in the field of computational oncology, through spatial biology, I am presenting a new predictive paradigm for understanding biological complexity.
Computational biologist researching spatial transcriptomics and digital pathology to analyze tumor microenvironment; lead architect and project manager for the establishment of a clinical-grade pathology image search platform
Developer of a platform for big data analytics; Deep learning architect for medical data analysis
Responsible for optimal parallelization for researchers using the Tachyon II supercomputer (comprising 188 nodes and 3,008 cores) at the National Supercomputing Center of the Korea Institute of Science and Technology Information (KISTI); Solution architect for migration of Unix systems
Establishment of emotional response database to stimuli; Development of emotion classifier using facial thermal imaging
Development of medium energy ion scattering (MEIS) equipment for surface analysis of compounds