Summary
Hankyu Moon is a Principal Research Scientist in Generative and Multi-Modal AI with nine years in industry research and a two-decade deep technical foundation in computer vision, machine learning, and predictive analytics. He designs data- and model-efficient deep learning algorithms and builds multi-modal LLMs that handle text, image, speech, and tabular inputs, with production-grade work in person/vehicle detection, re-identification, and multi-camera tracking. His research spans super-resolution, colorization, inpainting and GANs, and he has a proven record of translating theoretical advances—like topology-invariant indicators and provably optimal edge filters—into practical systems for markets, health monitoring, and HCI. Based in Mountain View, he blends PhD-level rigor with hands-on engineering at scale, often delivering solutions that reduce labeled-data needs while improving robustness across modalities.
9 years of coding experience
16 years of employment as a software developer
BS Mathematics Education, BS Mathematics Education at Seoul National University
Ph.D. Electrical and Computer Engineering, Ph.D. Electrical and Computer Engineering at University of Maryland
Korean, English