Sarah Bird leads research and emerging technology strategy for AI developer products in Azure at Microsoft. Sarah works to accelerate the adoption and impact of AI by bringing together the latest innovations in machine learning and systems research with the best of open source and product expertise to create new tools and technologies. She’s an active contributor to the open source ecosystem and cofounded ONNX, an open source standard for machine learning models. She was also a leader in the PyTorch 1.0 project. Sarah’s research interests include machine learning systems and responsible AI. She was an early member of the machine learning systems research community and has been active in growing and forming the community. Previously, Sarah was a machine learning systems researcher at Microsoft Research NYC, where she worked on reinforcement learning systems and AI ethics. She cofounded the SysML research conference and the Learning Systems workshops. She holds a PhD in computer science from UC Berkeley, where she was advised by Dave Patterson, Krste Asanovic, and Burton Smith.
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