Timnit recently finished her postdoc at Microsoft Research in New York City, in the FATE (Fairness Transparency Accountability and Ethics in AI) group, where she studied algorithmic bias and the ethical implications underlying data mining projects (see this New York Times article for an example of her work). Timnit received her PhD from the Stanford Artificial Intelligence Laboratory, studying computer vision under Fei-Fei Li. Her thesis pertained to data mining large-scale, publicly available images to gain sociological insights, and computer vision problems that arise as a result. The Economist, The New York Times, and others have covered this work. Some of the computer vision areas she is interested in include fine-grained image recognition, scalable annotation of images, and domain adaptation. Prior to joining Fei-Fei’s lab, Timnit worked at Apple, designing circuits and signal-processing algorithms for various products, including the first iPad. Her research was supported by the NSF foundation GRFP fellowship and the Stanford DARE fellowship.