Sukwon Yun

Research Intern at Genentech

Seattle, Washington, United States
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Summary

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Rockstar
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Top School
Sukwon Yun is a research-focused AI engineer and PhD student at UNC Chapel Hill with five years of experience applying graph neural networks and recommender systems to real-world problems. Currently a research intern at Genentech in Regev Lab, he blends computational biology interests with a strong graph ML background gained through research roles at Tokyo Institute of Technology, KAIST, and Hanyang University. His work spans graph convolutional networks, graph embedding, and neural graph collaborative filtering, often tackling missing-feature scenarios and scalable recommendation models. Based in Seattle, he maintains a public portfolio at sukwonyun.github.io that reflects both academic rigor and practical experimentation. Notably, his trajectory bridges industrial engineering foundations with cutting-edge AI-for-biology research, positioning him to translate graph ML advances into biological insights.
code5 years of coding experience
job1 year of employment as a software developer
bookBachelor of Science - BS, Industrial Engineering, Bachelor of Science - BS, Industrial Engineering at 한양대학교
bookMaster's degree, Industrial and Systems Engineering, Master's degree, Industrial and Systems Engineering at 한국과학기술원(KAIST)
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of North Carolina at Chapel Hill
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Github Skills (13)

agent10
natural-language-processing9
large-language-models9
artificial-intelligence9
deep-learning9
leaderboard8
evaluation6
nlp5
foundation-models4
rlhf2
classification2
graph1
pytorch1

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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SukwonYun/RecSys-Papers

Jan 2021 - Jun 2022

Contributions:44 commits, 37 pushes, 7 branches in 1 year 5 months
SukwonYun/GNN-Papers

Jan 2021 - Jun 2022

Contributions:29 pushes, 3 branches in 1 year 4 months
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Sukwon Yun - Research Intern at Genentech