Xiangyang Mou is an AI research scientist with a decade of experience specializing in recommendation systems and NLP, currently driving research at Meta in Bellevue. He combines a strong academic foundation—a PhD in Computer Engineering from RPI and an MS from Washington University in St. Louis—with hands-on engineering to bridge cutting‑edge research and production recommendations. His work focuses on building scalable, data-driven personalization models that blend signal engineering with modern language understanding. Comfortable in both research and applied settings, he excels at turning complex modeling challenges into deployable systems at scale. A detail that sets him apart is his cross-disciplinary training in electronic information engineering and computer engineering, enabling a systems-oriented approach to ML research.
10 years of coding experience
Bachelor's Degree, Electronic Information Engineering, Bachelor's Degree, Electronic Information Engineering at Xidian University
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Rensselaer Polytechnic Institute
Master of Science - MS, Electrical and Electronics Engineering, Master of Science - MS, Electrical and Electronics Engineering at Washington University in St. Louis
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