Luowei Zhou is a research scientist at Google DeepMind with a decade of experience advancing multimodal and vision-language models. He helped build influential projects such as FLorence and ClipBERT and previously contributed to vision foundation models at Microsoft and early Visual Transformers and Unified VLP during his Ph.D. at the University of Michigan. His work bridges rigorous academic research and production-scale model development, evidenced by internships at FAIR, MSR, and Salesforce Research and a CVPR 2021 Best Student Paper honorable mention. Based in Bellevue, WA, he combines robotics and automation roots from Nanjing University with a practical track record of shipping state-of-the-art multimodal systems.
10 years of coding experience
Doctor of Philosophy (Ph.D.) Robotics, Doctor of Philosophy (Ph.D.) Robotics at University of Michigan
Bachelor of Engineering (B.E.) Automation, Bachelor of Engineering (B.E.) Automation at Nanjing University
Contributions:19 commits, 12 pushes, 21 comments in 1 year 9 months
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