Wenxuan Zhou is a research scientist with 14 years of experience at the intersection of AI and robotics, currently working on Gemini post-training at Google DeepMind after LLM post-training work at Meta. He completed a PhD at Carnegie Mellon focused on generalizable dexterity, offline/off-policy reinforcement learning, and 3D-vision-driven contact-rich manipulation, and has a track record of deploying research on real robots. Wenxuan’s internships and visiting roles at DeepMind and Meta bridged imitation learning from human videos, teleoperation with a single RGB-D camera, and lifelong learning in non-stationary dynamics, reflecting a practical bent toward bringing labs results to hardware. Always a learner by ethos, he combines strong systems experience (from automotive HIL testing to embedded controllers) with deep algorithmic expertise, making him adept at tackling both theoretical and engineering challenges.
14 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Bachelor's degree at University of Michigan
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Carnegie Mellon University
Bachelor's Degree, Bachelor's Degree at Shanghai Jiao Tong University
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Wenxuan Zhou - Research Scientist at Google DeepMind