Junhyun Lee
Graduate Student
South Korea
Summary
🤩
Rockstar🎓
Top SchoolJunhyun Lee is a PhD candidate and graduate student in computer engineering at Korea University with nine years of professional experience bridging biomedical engineering and data-driven AI research. He has focused on graph neural networks and video data during a research internship at Kakao Brain and expanded his international research perspective as a visiting scholar at Carnegie Mellon University. His work combines rigorous academic training (MS&PhD integrated program, data mining) with practical experimentation in applied machine learning and graph-based modeling. Based in South Korea, Junhyun brings cross-disciplinary insight from a biomedical engineering undergraduate background to current AI research problems. Colleagues describe him as a methodical researcher who translates theoretical advances into reproducible experiments and prototype systems. He maintains an online presence at junhyunlee.com where he shares his research outputs and ongoing projects.
9 years of coding experience
B.S., Biomedical engineering, B.S., Biomedical engineering at 고려대학교MS&Ph.D Integration Course, Computer engineering, Data mining, 4.5, MS&Ph.D Integration Course, Computer engineering, Data mining, 4.5 at Korea University
Github Skills (47)
geometric-deep-learning10
pytorch10
graph10
graph-neural-network10
graph-convolutional-networks10
graph-representation-learning10
robotics9
video-understanding9
alarm9
clock9
deep-learning9
computer-vision8
ava8
action-recognition8
machine-learning8
Programming languages (6)
Github contributions (5)
LeeJunHyun/The-Databases-for-Drug-Discovery
Oct 2018 - Nov 2018
Contributions:15 commits, 14 pushes, 1 branch in 1 month
LeeJunHyun/Image_Segmentation
Jun 2018 - Apr 2019
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
Contributions:12 commits, 3 PRs, 12 pushes in 10 months
pytorchu-netpytorch-implementation
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