Summary
Fandong Meng is a Senior Researcher based in Beijing with a decade of experience applying deep learning to natural language processing, particularly neural machine translation and recommendation models. He holds a Ph.D. in Computer Science from the Institute of Computing Technology, Chinese Academy of Sciences and has been at Tencent since 2016 after research roles and internships focused on machine translation. His work bridges rigorous academic research and practical engineering, producing neural models that improve both translation quality and personalized recommendations. Beyond core NMT, he has experience in dialogue systems and end-to-end conversational modeling, reflecting a broad NLP portfolio. Fandong maintains an active professional presence through his research homepage and GitHub, signaling ongoing contributions to open research and reproducible code. Colleagues describe him as someone who blends theoretical depth with hands-on system-building to push research into production.
10 years of coding experience
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Beijing Jiaotong University
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Institute of Computing Technology, Chinese Academy of Sciences
Chinese, English