Summary
Donghwee Yoon is a machine learning researcher based in Seoul with nine years’ experience focused on deep generative models, medical AI, computer vision, and large language models. Currently at AITRICS—after a research internship there—he applies research-driven ML approaches to healthcare problems, building models intended for clinical impact. His background blends an M.S. in Information Engineering and dual undergraduate degrees in Economics and Computer Science with a near-perfect major GPA, reflecting both technical depth and quantitative rigor. Earlier research internships, including at Deep Bio, show a sustained interest in translational AI for biology and medicine. Donghwee combines academic training with hands-on product research, often bridging model innovation and deployment considerations. He is particularly skilled at translating generative-model advances into practical medical imaging and diagnostic workflows.
9 years of coding experience
(M.S.), Information Engineering, (M.S.), Information Engineering at Handong Global University