5 sources
High-signal for the seam between machine learning and hardware systems, especially where learned optimization methods begin affecting the actual compute infrastructure underneath frontier models.
Researcher Profile
Editor reviewedAnna Goldie
Alignment via AI feedback (Constitutional AI)
Research scientist on efficient ML systems and chip design at Google
A strong person to follow for the point where machine learning research starts shaping the compute stack itself, especially in chip placement and systems-aware optimization.
Organizations
Google
Labs
About This Page
This profile is meant to help you get oriented quickly: why this researcher matters, what to read first, and where to explore next.
Last reviewed
March 18, 2026
Official And External Links
Known For
The ideas, systems, and research directions that make this person worth knowing.
01
Chip placement with deep reinforcement learning
02
Systems-aware optimization
03
Infrastructure-oriented ML research at Google
04
Alignment via AI feedback (Constitutional AI)
05
Constitutional AI: Harmlessness from AI Feedback
06
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
Start Here
Canonical papers, project pages, or repositories that anchor this profile.
How AlphaChip transformed computer chip designarticleChip Design with Deep Reinforcement LearningpaperGemini: A Family of Highly Capable Multimodal ModelspaperConstitutional AI: Harmlessness from AI FeedbackpaperTraining a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedbackpaper
Signature Works
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Supporting Sources
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