Bonnie Li
Research Scientist at Google DeepMind
United States
Summary
👤
Senior🎓
Top SchoolBonnie Li is a research scientist based in the San Francisco Bay Area with eight years of experience at the intersection of large-scale AI research and production engineering. Currently on teams powering Gemini and Genie at Google DeepMind, she blends research rigor with product-minded implementation across state-of-the-art generative models. Her background includes research engineering at DeepMind and software engineering at NVIDIA, giving her a rare fluency in both experimental model development and deployment considerations. Trained in mathematics and computer science at McGill, she approaches problems with a strong theoretical foundation and practical coding chops. Bonnie publishes work and maintains a public portfolio, signaling a commitment to transparency and reproducibility in ML research. Colleagues describe her as someone who translates complex model advances into operational systems that deliver real user-facing capabilities.
8 years of coding experience
Mathematics and Computer Science, Mathematics and Computer Science at McGill University
French, English
Github Skills (26)
unity3d9
deep-reinforcement-learning8
ros8
serve8
simulator8
simulation7
simulations7
intelligent7
computer-vision7
autonomous-driving6
deep-learning6
self-driving-car6
machine-learning6
imitation-learning6
artificial-intelligence6
Programming languages (5)
Github contributions (5)
bonniesjli/icm
Aug 2019 - Sep 2019
Contributions:11 commits, 10 pushes, 1 branch in 13 days
bonniesjli/bonniesjli.github.io
Mar 2023 - Nov 2023
Contributions:6 pushes, 1 branch in 7 months
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