Hongzheng Chen is a Research Scholar and Ph.D. candidate at Cornell University specializing in compilers, programming systems, and accelerators for large-scale machine learning workloads, particularly large language models. With eight years of experience across academia and industry, he has interned or collaborated with NVIDIA, AWS, ByteDance, and Google on deep learning compilers and heterogeneous hardware stacks. His work focuses on making GPUs/TPUs/NPUs more productive and performant for GenAI workloads, bridging low-level accelerator code generation with practical systems engineering. Recognized as an ML and Systems Rising Star in 2024, he combines rigorous PhD research with hands-on contributions to compiler toolchains—often emphasizing cross-hardware portability and scalability. Based in Ithaca, he brings both theoretical depth and production-oriented instincts to building next-generation ML infrastructure.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Sun Yat-sen University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Cornell University
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Hongzheng Chen - Research Scholar at Cornell University