Summary
Wuyang Zhang is a research faculty and seasoned ML systems scientist with 11 years of experience bridging academia and industry, most recently at Meta’s Ads ML group and now at the University of Science and Technology of China. He holds a Ph.D. from WINLAB, Rutgers, and focuses on distributed machine learning systems, edge computing, and recommender systems, bringing deep research rigor to production-scale problems. At Meta he progressed from Research Scientist to Staff Research Scientist, contributing to large-scale ad-serving ML infrastructure and applied research. A recipient of the IEEE Communications Society Phoenix ISS Award, he blends theoretical insight with practical system-building and has international research experience including visiting work at The University of Tokyo. His background spans diverse internships (ByteDance, Samsung) and cross-cultural education in France and China, reflecting an ability to operate effectively across global research and engineering teams. Notably, he combines low-level distributed-systems expertise with recommender-system modeling—an uncommon hybrid that accelerates research-to-production impact.
11 years of coding experience
9 years of employment as a software developer
Wireless Communication , Wireless Communication at Université Paris Nanterre
Bachelor of Science Computer Systems Networking and Telecommunications, Bachelor of Science Computer Systems Networking and Telecommunications at Nanjing University of Science and Technology
Doctor of Philosophy (PhD) Computer Engineering, Doctor of Philosophy (PhD) Computer Engineering at Rutgers University