$$ \Huge \textbf {Chan Lee} \\ \newline \small Graduate \space Student - South \space Korea $$
Hello there! My name is Chan Lee, and I am a graduate student at the Compiler Research Laboratory (Corelab) at Yonsei University, Seoul, South Korea.
I have research interests in LLM-driven compiler optimization, compiler design, and processing-in-memory (PIM), with a particular focus on using large language models to extend compiler optimization beyond what traditional static analysis can achieve. My current work explores how LLMs can serve as a high-level reasoning component inside the compiler — proposing program transformations that conservative analyses miss — while keeping the resulting optimizations safe and verifiable. In this direction, I aim to bridge the gap between LLM-level reasoning and compiler-grade correctness and broaden the set of optimizations compilers can confidently apply.
🗺️ Seoul, Korea
http://corelab.or.kr/CV/chan-full.pdf
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https://embed.notionlytics.com/wt/ZXlKM2IzSnJjM0JoWTJWVWNtRmphMlZ5U1dRaU9pSk9NRXRyTW5KbmFsaE5hR3BUV0dsM05FUnhVU0lzSW5CaFoyVkpaQ0k2SWpGaU1ETXdaR1EzWWpCak1qZ3dPVGhoTkRNNFl6QXhNVEExTURabE9XWXdJbjA9
M.S./Ph.D. Student, Advisor: Prof. Hanjun Kim
Research Project: “Compiler Optimization for Processing-in-Memory”
Bachelor’s Degree in Electrical and Electronic Engineering
Compiler Research Laboratory (Corelab), Yonsei University, Seoul, Republic of Korea
Compiler Research Laboratory (Corelab), Yonsei University, Seoul, Republic of Korea
Contest on "Google Graph Scheduling Competition on Track B: Agent Reasoning"
Contest on “Optimized Neuron Kernel Interface (NKI) Implementation on Llama 3.2 1B (Inference)”
2025/OPTNKI.md at main · asplos-contest/2025