Fei Wei is an AI and electrical engineering researcher with 9 years of experience bridging academic rigor and industry impact, holding a Ph.D. from the University at Buffalo and current roles at Alibaba and the National University of Singapore. His work spans security, privacy, and fairness in databases and machine learning, plus network information theory, with recent industry focus on multi-agent systems, reinforcement fine-tuning, and privacy for large language models. He moved from a postdoctoral fellowship at Arizona State University to research fellowships and now industry research scientist work in Hangzhou, demonstrating fluid transition between cutting-edge research and applied AI. Fei combines deep theoretical training with hands-on AI research practice, and outside the lab he’s an avid hiker, fisher, and cat enthusiast—a reminder that practical research often benefits from off‑beat curiosities.
9 years of coding experience
2 years of employment as a software developer
Master of Science (M.S.), Electrical Engineering, Master of Science (M.S.), Electrical Engineering at Harbin Engineering University
Bachelor of Science (B.S.), Electrical Engineering, Bachelor of Science (B.S.), Electrical Engineering at Harbin University of Science and Technology
Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering, Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering at University at Buffalo
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