Summary
Yuanhang Shao is a PhD candidate and Graduate Assistant at Florida State University with eight years of experience building and studying graph neural networks, transformers, path signature methods, and deep learning techniques across applications from semi-supervised learning and combinatorial optimization to LLM reasoning and stock prediction. He combines rigorous theoretical work—analyzing universality and interpretability of graph-based models—with practical engineering skills in Python, PyTorch, Signatory, and Linux to prototype multimodal and LLM-integrated systems. As the department webmaster, he pairs research with hands-on web and database administration, demonstrating a rare blend of academic depth and production-facing operations. Comfortable teaching across undergrad and graduate courses, he rapidly absorbs new methods and data modalities, making him adept at translating novel ML ideas into reproducible experiments and deployable tools.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 3.833, Doctor of Philosophy - PhD, Computer Science, 3.833 at Florida State University
Master's degree, Traffic Information Engineering & Control, Master's degree, Traffic Information Engineering & Control at Chang'an University
Master of Science - MS, Computer Science, 3.75, Master of Science - MS, Computer Science, 3.75 at Troy University
English, Chinese