Scholar
Yunhak Oh
Google Scholar ID: SYoXjKMAAAAJ
KAIST
Citations & Impact
Citations
61
H-index
4
i10-index
2
Publications
9
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top-tier conferences like NeurIPS, ICML, KDD, and ICLR. One paper was accepted as a spotlight presentation at NeurIPS 2025 (Top 3.18 %), and another received the Best Paper Award at the KDD 2024 Workshop on Federated Learning.
Research Experience
- Worked as a Data Scientist and Manager at NielsenIQ, leading data-driven projects, including one that cut costs by $54K USD.
Education
- Currently a Ph.D. candidate in the Graduate School of Data Science at KAIST, advised by Prof. Chanyoung Park. Research focuses on the intersection of Graph Representation Learning and its applications to biology.
Background
- Passionate about using machine learning to solve complex scientific puzzles, bridging the gap between cutting-edge research and real-world impact. Grew from a Data Scientist to a Manager at NielsenIQ, leading projects that enhanced operational efficiency and delivered significant business value.
Miscellany
- No personal interests mentioned
