Summary
Xiaotao Feng is a Senior Data Engineer at Roku with 26 years of experience bridging rigorous research and production data systems. He holds a PhD from UC Davis and previously led causal inference and uplift modeling initiatives at JD.COM Silicon Valley Labs to predict CLV and optimize marketing impact for hundreds of millions of customers and 700+ brands. His work blends game theory, causal inference, and machine learning to build value-driven customer management systems and automated causal ML pipelines. Comfortable in both research and engineering roles, he has applied AI techniques to fraud detection, SSD decoder design with deep reinforcement learning, and complex equilibrium problems studied during his academic career. Based in Sunnyvale, he brings a rare combination of academic depth in economics and networking with hands-on experience deploying large-scale, business-critical models. A pragmatic thinker, he focuses on turning nuanced causal insights into scalable, revenue-driving systems.
26 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Computer and Information Systems Security/Information Assurance, Doctor of Philosophy (PhD), Computer and Information Systems Security/Information Assurance at University of California, Davis
Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering at Beijing Jiaotong University
Master of Engineering (M.Eng.), Electrical, Electronics and Communications Engineering, Master of Engineering (M.Eng.), Electrical, Electronics and Communications Engineering at Peking University
Chinese, English