Guanyu Yao is a PhD student and teaching assistant at UCSB with four years of hands-on experience in AI and software research. He teaches problem-solving and generative AI courses while contributing to open-source ML infrastructure, including work on the LMFlow training/inference platform during a research internship at HKUST. Trained in Artificial Intelligence from Beijing Normal University, he blends academic rigor with practical engineering—comfortable moving between coursework instruction, research codebases, and production-oriented tooling. Based in Santa Barbara, he brings a researcher’s curiosity and a developer’s focus on reproducible ML workflows, often surfacing implementation details that bridge prototype models to usable systems.
4 years of coding experience
Bachelor of Engineering, Artificial Intelligence, Bachelor of Engineering, Artificial Intelligence at 北京师范大学
UCSB College of Engineering
Doctor of Philosophy, Computational Science, Doctor of Philosophy, Computational Science at Ultimate Closer Sdn. Bhd
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Guanyu Yao - Teaching Assistant at UCSB College of Engineering