Chanyoung Park
Associate Professor
South Korea
Summary
👤
Senior🎓
Top SchoolChanyoung Park is an associate professor at KAIST with eight years of research and academic experience in data mining, recommender systems, and graph representation learning. After completing a Ph.D. at POSTECH and a postdoc at UIUC focused on unsupervised representation learning in graphs and heterogeneous information networks, he joined KAIST as faculty in 2020 and was promoted to associate professor in 2025. His work bridges theoretical machine learning and practical recommender applications, with industry research internships at Microsoft and NAVER informing a pragmatic approach to scalable systems. He runs the DSAIL lab at KAIST, combining algorithmic innovation with applied research, and is known for translating graph and network representations into real-world recommendation and analytics systems.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Sogang UniversityDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Pohang University of Science and Technology
Korean, English, German
Github Skills (13)
ranking9
science8
computer-science7
react7
tensorboard5
machine-learning4
visualization4
pytorch4
chainer4
deep-learning3
numpy2
tensorflow2
mxnet2
Programming languages (1)
Github contributions (5)
pcy1302/DMGI
Dec 2019 - Aug 2021
Contributions:15 commits, 39 pushes, 10 comments in 1 year 8 months
pcy1302/pcy1302.github.io
Oct 2020 - Nov 2020
Contributions:35 pushes, 1 branch in 1 month
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