Ruiqi Gao
Staff Research Scientist at Google DeepMind
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolRuiqi Gao is a Staff Research Scientist at Google DeepMind with eight years of experience advancing probabilistic and generative modeling, representation learning, and computer vision. He completed a PhD in Statistics at UCLA where his work focused on generative models (energy-based, latent-variable, flow-based) and brain-inspired representation learning under advisors Song-Chun Zhu and Ying Nian Wu. Prior roles include research scientist at Google Brain and internships collaborating with leaders like Diederik Kingma on semi-supervised and generative modeling, reflecting strong ties between academic rigor and industry-scale research. Based in San Francisco, Ruiqi blends deep theoretical expertise with practical experimentation on cutting-edge ML problems, often drawing on neuroscience-inspired structure to improve representations. A detail not obvious from titles: his trajectory shows sustained collaboration with top ML researchers across academia and industry, indicating both technical depth and an ability to integrate into high-impact research teams.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Statistics and Probability, Bachelor of Science - BS, Statistics and Probability at Peking UniversityUniversity of California, Los Angeles
Github Skills (7)
machine-learning10
google10
ai10
denoising4
diffusion-probabilistic3
probabilistic-models3
probabilistic3
Programming languages (3)
Github contributions (5)
ruiqigao/DeformableGenerator
Nov 2018 - Nov 2018
Contributions:2 commits, 1 push, 1 branch in 1 day
ruiqigao/recovery_likelihood
Mar 2021 - Jun 2022
Contributions:1 push, 1 branch, 2 comments in 1 year 2 months
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