Summary
Yufeng Ma is a Senior Research Scientist with a decade of experience building production-grade ranking and recommendation systems, currently leading ranking efforts for Facebook Connected Feeds at Meta. He holds a PhD from Virginia Tech and has a strong R&D track record at Yahoo focusing on news ranking, clustering, and query intent recognition, plus earlier work on stream ranking for homepage personalization. His expertise spans NLP, machine learning, deep learning, and multimodal research combining images and text, with a history of designing bespoke neural architectures for real-world search and recommendation problems. Based in California, he blends academic rigor with product-minded engineering to drive measurable improvements in ranking pipelines. Less obvious: his dissertation and early research emphasize deeper image–language fusion, giving him an edge on cross-modal signals often underutilized in recommendation systems.
10 years of coding experience
12 years of employment as a software developer
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Wuhan University
Doctor of Philosophy - PhD, Computer Science and Applications, Doctor of Philosophy - PhD, Computer Science and Applications at Virginia Tech
Chinese, English