Dr. Erin Lorelie Young is a postdoctoral research fellow at The Alan Turing Institute, leading the Women in Data Science and AI project within the Public Policy programme. She explores the gendered practices mediating the data science and AI fields, considering the political and socio-economic roots of the networks that shape, deploy and govern AI systems and their applications. Erin has a DPhil (PhD) in Education (Learning and Technology) from the University of Oxford, and a BA in Classics from the University of Cambridge. She has held positions as a consultant at the International Institute for Educational Planning (IIEP) at UNESCO in Paris, an H-STAR Visiting Researcher at Stanford University and a Research Assistant at the Oxford Internet Institute. Erin is interested in the social and ethical implications of technologies, particularly artificial intelligence (AI), machine learning and other data-driven innovations, and her work draws from Science and Technology Studies (STS) and intersectional feminism.