$$ \Huge \textbf {Chan Lee} \\ \newline \small Graduate \space Student - South \space Korea $$
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
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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
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