Guangyao Zhou is a Staff Research Scientist at Google DeepMind with 11 years of experience bridging rigorous applied mathematics and cutting-edge ML research. He holds a Ph.D. in Applied Mathematics from Brown University and began his career with deep-learning research roles at Vicarious and internships at Amazon Lab126, where he worked on multiscale optimization for ill-conditioned neural networks. At DeepMind he progressed from Research Scientist to Senior and now Staff Scientist, focusing on scalable, theory-grounded approaches to challenging learning problems. Guangyao combines formal statistical training from Peking University with hands-on systems thinking, enabling him to translate mathematical insight into practical model and optimization advances. Colleagues describe him as someone who pairs deep theoretical acuity with a practical drive to deploy research into high-impact systems.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Applied Mathematics, Doctor of Philosophy (Ph.D.) Applied Mathematics at Brown University
Bachelor of Science (B.S.) Mathematical Statistics and Probability, Bachelor of Science (B.S.) Mathematical Statistics and Probability at Peking University
Contributions:46 pushes, 2 branches in 5 years 8 months
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