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Principal ML Research Scientist, former Google Brain
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Sarah spent five years at Google Brain working on large-scale supervised and semi-supervised learning systems before joining an ML research lab in London. She holds a PhD in Machine Learning from Carnegie Mellon and has co-authored over 20 peer-reviewed papers. She teaches ML Engineering at Imperial College London as a visiting lecturer.
