Sara Hooker
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Welcome!

I lead Cohere Labs
Teaching machines how to think.
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I am a VP of Research at Cohere and I lead Cohere Labs, a fundamental AI research lab that seeks to solve complex machine learning problems. We support research that explores the unknown. I lead a team of researchers and engineers working on making large AI systems more efficient, safe and grounded.  I am also interested in the intersection between hardware, software and algorithm stacks.

Prior to Cohere, I was a research scientist Google Brain, now Deepmind. I enjoy working on research problems where progress translates to reliable and accessible machine learning in the real-world. I completed my PhD in Computer Science at Mila AI Institute, supervised by Hugo Larochelle and Aaron Courville.


I believe in collaborating widely and creating new spaces where breakthroughs happen. I am on Kaggle's ML Advisory Research Board, on the World Economic Forum council on the Future of Artificial Intelligence and Data Frontiers. Amongst other efforts, I am a member of the MLC research group which has a focus on making participation in machine learning research more accessible. I was recognized as one of the most influential people in AI by Time Magazine, and so now I spend considerable time trying to lower expectations when I meet people for the first time.  

If you made it this far -- Listen to underrated ml -- a podcast where my younger brother Sean Hooker and I discuss underrated ideas in machine learning.

Other writings:
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The Hardware Lottery

On the limitations of compute thresholds


Why data for good lacks precision.
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Research Papers




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