Dongyeun Lee
Research Scientist at Korea Advanced Institute of Science and Technology
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolDongyeun Lee is a research scientist specializing in generative models, neural rendering, and 3D morphable models, currently working at KAIST's Statistical Inference & Information Theory Laboratory. With eight years of experience spanning academic research and industry R&D at Klleon, he bridges theory and application—evident in his KAIST master's thesis on disentangling StyleGAN noise for transfer learning. His background includes hands-on projects in talking head synthesis, makeup style transfer, and aerial image change detection, reflecting a strong track record in GAN-based and vision-driven systems. Based in Seoul, he combines rigorous electrical engineering training with practical software science experience from UCSC, enabling rapid prototyping and experimentation. Notably, his work during alternative military service at Klleon underscores an ability to deliver advanced AI research in constrained or applied settings.
8 years of coding experience
2 years of employment as a software developer
University of California Santa CruzMaster's degree, Electrical Enginnering, Master's degree, Electrical Enginnering at Korea Advanced Institute of Science and Technology
Korean, English
Github Skills (20)
lora5
flux5
diffusion-models5
mining4
translation4
datasets4
generative-model4
quantization4
deep-learning3
python3
nlp3
text-mining3
pytorch3
large-scale3
machine-learning2
Programming languages (4)
Github contributions (5)
LeeDongYeun/FixNoise
Mar 2022 - May 2022
Contributions:16 commits, 8 pushes, 1 issue in 1 month
LeeDongYeun/deepfake-detection
Oct 2019 - Dec 2019
Contributions:19 commits, 17 pushes, 1 branch in 1 month
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