sukwon@cs.washington.edu
I am an incoming CS PhD student at the University of Washington. Before joining UW, I was a research intern at the Regev Lab at Genentech and earned M.S. in Computer Science from UNC Chapel Hill.
I am interested in AI for biology. I develop multimodal learning and design multi-agent systems to model cellular behavior and design proteins. My work focuses on building collaborative AI frameworks that translate diverse biological signals into mechanistic understanding.
Selected publications
(* = equal contribution)
- Sukwon Yun, Jie Peng, Pingzhi Li, Wendong Fan, Jie Chen, James Zou, Guohao Li, Tianlong Chen, "Graph-of-Agents: A Graph-Based Framework for Multi-Agent LLM Collaboration"
ICLR 2026 / Paper / Code - Zunpeng Liu*, Shanshan Zhang*, ..., Sukwon Yun, ..., Manolis Kellis, "Single-cell multiregion epigenomic rewiring in Alzheimer’s disease progression and cognitive resilience"
Cell 2025 / Paper / Code - Sukwon Yun, Inyoung Choi, Jie Peng, Yangfan Wu, Jingxuan Bao, Qiyiwen Zhang, Jiayi Xin, Qi Long, Tianlong Chen, "Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts"
NeurIPS 2024 (Spotlight) / Paper / Code - Sukwon Yun, Jie Peng, Alexandro Trevino, Chanyoung Park, Tianlong Chen, "Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network"
ECCV 2024 / Paper / Code - Sukwon Yun*, Junseok Lee*, Chanyoung Park, "Single-cell RNA-seq data imputation using Feature Propagation"
ICML 2023 WCB (Best Paper Award) / Paper / Code
Awards
- Top Reviewer, NeurIPS 2025
- Best Paper Award, AAAI GenAI4Health 2025
- Best Paper Award, KDD FedKDD 2024
- Best Paper Award, ICML WCB 2023
- Poster Competition Excellence Award, KAIST
- Hanyang Academic Achievement Award, Hanyang Univesity
Resume
Here is my Resume (last updated Apr. 2026).