Sara leads Cohere For AI, a non-profit research lab that seeks to solve complex machine learning problems. They support fundamental research that explores the unknown, and are focused on creating more points of entry into machine learning research. Prior to Cohere, Sara was a research scientist Google Brain doing work on training models that go beyond test-set accuracy to fulfill multiple desired criteria — interpretable, compact, fair and robust. She enjoys working on research problems where progress translates to reliable and accessible machine learning in the real-world. Sara founded a local Bay Area non-profit called Delta Analytics that works with nonprofits and communities all over the world to build technical capacity and empower others to use data. Delta Analytics is entirely volunteer run. Sara remains an advisor to Delta Analytics. Sara is one of the co-founders of the Trustworthy ML Initiative, a forum and seminar series related to Trustworthy ML. She believes in open research and collaborating widely. Sara is on the advisory board of Patterns, and amongst other efforts, she is an active member of the MLC research group which has a focus on making participation in machine learning research more accessible.