Fang Chen is an applied research scientist in Palo Alto with 14 years of experience building ML-driven products across enterprise and consumer domains. Currently at Meta, he focuses on search and feed ranking, NLP, and personalization, bringing research rigor to production-scale systems. His background spans time-series and anomaly detection, optimization, and simulation from roles at Cisco, NIO, and Bosch, including an invention disclosure for network anomaly detection. Fluent in iOS/Swift, Objective-C, Flutter and Python, he also experiments with DSPy, OpenUSD and visionOS—bridging mobile, signal processing, and generative AI. He holds a PhD in Operations Research and a master’s in Mathematics and Statistics, which underpin a strong quantitative approach to ML architecture. Less obvious: he repeatedly translates academic methods into deployed services that handle high-dimensional, real-world data at scale.
14 years of coding experience
5 years of employment as a software developer
Master's Degree, Mathematics and Statistics, Master's Degree, Mathematics and Statistics at University of Minnesota
Doctor of Philosophy (Ph.D.), Operations Research, Doctor of Philosophy (Ph.D.), Operations Research at Lehigh University
Bachelor of Science (B.S.), Transportation and Highway Engineering, Bachelor of Science (B.S.), Transportation and Highway Engineering at Beijing Institute of Technology
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