Li Ding
Mountain View, California, United States
Summary
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RockstarLi Ding is an AI safety and security researcher at Google DeepMind with a decade of experience in machine learning and reinforcement learning. Based in Mountain View, he focuses on RLHF and open-endedness, blending empirical experimentation with safety-first thinking to anticipate long-term risks. His work sits at the intersection of research and applied systems, making complex alignment problems tractable for production-grade models. Colleagues describe him as someone who pairs deep technical rigor with curiosity about emergent behaviors, often surfacing subtle failure modes before they become issues.
10 years of coding experience
Github Skills (36)
segmentation10
evolutionary-computation9
python9
evolutionary-algorithms9
machine-learning9
openai-gym9
optical-flow9
deep-learning9
deep-reinforcement-learning9
evolution8
tensorflow8
bare8
artificial-intelligence8
data-science8
shortcuts7
Programming languages (5)
Github contributions (5)
ld-ing/ld-ing.github.io
Apr 2017 - Mar 2025
Contributions:125 pushes, 1 branch in 8 years
ld-ing/VGG-with-edge-detection
Jan 2017 - Jul 2017
Contributions:4 commits, 3 pushes, 1 branch in 6 months
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