I am an AI/ML technical leader with a research background in recommender systems, machine learning, and large-scale network analysis. Since joining Electronic Arts, I have worked across research, production ML, and platform development—turning intelligent-system ideas into scalable capabilities used by live products. My work centers on recommendation, personalization, matchmaking, AI infrastructure, and applied AI, with an emphasis on building reliable systems that enable teams and improve experiences for millions of players.
2026 — ECE Rising Star Award
University of California, Davis
Recognized as an up-and-coming leader in intelligent systems whose work advances recommendation, matchmaking, anti-cheat, content generation, churn prevention, and other AI/ML services shaping experiences for millions of players.
Earlier recognition: Department Start-Up Grant (2017) · NSF Travel Grant (2016)
Beyond Technology
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Electronic Arts
Technical Director II
Earlier roles: Senior AI Scientist · AI Scientist
Leading and enabling production-scale AI/ML platforms and intelligent systems across recommendation, personalization, matchmaking, and applied AI.
PhD, Electrical Engineering — University of California, Davis, 2018
BE, Electrical Engineering — Zhejiang University, 2014
Research foundations: machine learning, recommender systems, submodular optimization, and large-scale network analysis.
Technical Director II · AI/ML Platforms & Intelligent Systems
Electronic Arts
Leading the development of scalable AI/ML platforms that power intelligent and personalized experiences at scale.
Email: qyu@ea.com
LinkedIn: https://www.linkedin.com/in/qilianyu
AI/ML Platforms — Scalable infrastructure for production machine learning.
Recommendation & Personalization — Intelligent decision systems for relevant, personalized experiences.
Real-Time Intelligence — Low-latency data, feature, and model serving.
Applied AI — Applying machine learning and generative AI to real-world products and workflows.
Selected Impact
AI/ML Platforms
Building scalable production platforms that help teams operationalize machine learning across live services.
Recommendation & Personalization
Developing intelligent decision systems that personalize content and experiences across large-scale consumer products.
Applied AI for Games
Driving capabilities spanning recommendation, matchmaking, anti-cheat, content generation, churn prevention, and player-lifecycle intelligence.