Sara Hooker
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  • Home
  • Research
  • Talks
  • Educational Outreach
  • Contact

Welcome!

Research Scientist @ Google Brain.
Machine Learning Researcher + Educator.
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Research scientist at Google Brain working on training models that go beyond test-set accuracy to fulfill multiple desired criteria -- interpretable, compact, fair and robust. I enjoy working on research problems where progress translates to reliable and accessible machine learning in the real-world. 
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I founded a local Bay Area non-profit called Delta Analytics that works with non-profits and communities all over the world to build technical capacity and empower others to use data. 

I am one of the co-founders of the Trustworthy ML Initiative, a forum and seminar series related to Trustworthy ML. I believe in open research and collaborating widely.

I am on the advisory board of Patterns, and amongst other efforts, I am an active member of the MLC research group which has a focus on making participation in machine learning research more accessible. 

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


Other writing:

The Hardware Lottery


Why data for good lacks precision.
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Research Papers


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