Zhongwen Xu is a Principal Researcher based in Hong Kong with 11 years of experience specializing in reinforcement learning, large language model reasoning, and world-model-based agents. He has held senior research and leadership roles at Tencent, Sea AI Lab, and DeepMind, and taught a PhD-level RL course at the National University of Singapore, combining academic rigor with industry-scale engineering. His recent work explores scaling RL agents to play thousands of 3D video games and using RL-driven agents to probe LLM reasoning, reflecting a rare blend of empirical systems-building and theoretical insight. Trained with PhD work across University of Technology Sydney and University of Queensland and early research stints at Google Brain and Carnegie Mellon, he moves seamlessly between research, mentorship, and product-focused teams. Notably, he has experience in meta-gradient methods and JAX at DeepMind, signaling deep expertise in modern ML tooling and optimization techniques.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at The University of Queensland
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Technology Sydney
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Zhejiang University
Contributions:40 pushes, 1 branch in 1 year 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.