Summary
Zhun Yang is a software engineer at Google Health with nine years of experience building AI systems that prioritize interpretability and human-centered design. He holds a Ph.D. from Arizona State University where he advanced Neuro-Symbolic AI—integrating prior knowledge, logic programming, and recurrent Transformer extensions to enable explainable, multi-step reasoning. His research has been applied in industry internships at Meta, Sony, and VMware, where he delivered production-ready and prototype systems that automated labeling, troubleshooting, and knowledge-driven inference. At ASU he also taught graduate courses in Knowledge Representation and Reasoning and published practical toolkits and code on his lab GitHub, demonstrating a commitment to reproducible research. Colleagues know him for bridging deep research with engineering rigor—e.g., compiling symbolic knowledge into loss functions and integrating GPT-4 with symbolic methods for robust, explainable pipelines. Based in Tempe, AZ, he focuses on bringing neuro-symbolic advances into healthcare to make AI decisions more transparent and clinically actionable.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Information Security, Bachelor's degree, Information Security at Wuhan University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Arizona State University