Scholar
Sara Hooker
Google Scholar ID: 2xy6h3sAAAAJ
Head of Cohere For AI
Machine learning efficiency
robustness
interpretability
trustworthy ML
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
8,208
H-index
35
i10-index
56
Publications
20
Co-authors
190
list available
Contact
Email
shooker@google.com
Twitter
Open ↗
LinkedIn
Open ↗
Publications
20 items
Tiny Aya: Bridging Scale and Multilingual Depth
2026
Cited
0
SimMerge: Learning to Select Merge Operators from Similarity Signals
2026
Cited
1
The Art of Asking: Multilingual Prompt Optimization for Synthetic Data
2025
Cited
0
The Disparate Impacts of Speculative Decoding
2025
Cited
0
Verification Limits Code LLM Training
2025
Cited
0
When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMs
2025
Cited
0
Language Models can perform Single-Utterance Self-Correction of Perturbed Reasoning
2025
Cited
0
Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers
2025
Cited
0
Load more
Resume (English only)
Background
VP of Research at Cohere, leading Cohere Labs, a frontier AI research lab focused on solving complex machine learning problems
Works on making large AI systems efficient, reliable, and grounded
Interested in the intersection of hardware, software, and algorithm stacks
Former research scientist at Google Brain (now DeepMind)
Focuses on translating research progress into real-world, reliable, and accessible machine learning
Believes in broad collaboration and expanding the environments where breakthroughs occur
Co-authors
190 total
Marzieh Fadaee
Staff Research Scientist, Cohere Labs
Ahmet Üstün
Cohere For AI
Julia Kreutzer
Senior Research Scientist at Cohere Labs
Beyza Ermiş
Cohere Labs
Daniel D'souza
Senior Data Scientist
Arash Ahmadian
Cohere For AI
Pieter-Jan Kindermans
Staff Research Scientist, Google Deepmind
Co-author 8
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up