Ruilin Li is a Senior Machine Learning Engineer in the San Francisco Bay Area with a decade of experience applying rigorous mathematical and statistical foundations to production ML systems. He holds a PhD in Computational and Applied Mathematics from Stanford and a BSc in Mathematics and Statistics from the University of Toronto, bringing deep theoretical training to industry problems. Ruilin’s recent roles span Ads Core ML and research at Meta, a quantitative researcher at Citadel Securities, and prior internships in ML and biostatistics, reflecting fluency across advertising, finance, and biomedical analytics. He combines research-grade modeling with production deployment experience, often translating novel algorithms into robust, high-throughput services. Although his LinkedIn is not frequently updated, his personal website and GitHub serve as primary windows into his work and technical curiosity.
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