Summary
Shouqian Shi is an Associate Professor at Nanjing University with eight years of experience spanning academia and industry, including four years at Google focused on backbone network routing and ML-driven network optimizations. He earned a PhD in Computer Systems, Networking and Telecommunications from UC Santa Cruz and holds dual undergraduate degrees in Applied Physics and Computer Science from USTC. His research and engineering work bridge quantum and classical networking, cloud and edge systems, software-defined networks, security, and network verification. He is actively pursuing applications of big data, distributed high-performance systems, LLM inference frameworks, self-organizing drone swarm networks, and next-generation vehicular networks. Notably, his profile reflects a rare combination of deep research training and production-scale experience at a hyperscaler, positioning him to translate cutting-edge networking research into deployable systems. Based in Nanjing, he brings both theoretical rigor and practical delivery experience to cross-disciplinary problems.
8 years of coding experience
4 years of employment as a software developer
Postgraduate Computer Science, Postgraduate Computer Science at University of Chinese Academy of Sciences
Bachelor of Science (B.S.) & Bachelor of Engineering (B.E.) Applied Physics & Computer Science, Bachelor of Science (B.S.) & Bachelor of Engineering (B.E.) Applied Physics & Computer Science at University of Science and Technology of China
University of California Santa Cruz
Chinese, English