Margot Hanley is currently a Ph.D. candidate in Information Science at Cornell Tech. Margot's dissertation focuses on the ethical issues and policy considerations of commercial brain computer interfaces. More broadly her work examines the values embedded in and promoted by computational systems, in particular those which use machine learning and other data-driven techniques. Her research is motivated by normative questions surrounding the design, development, and use of these systems and methods, specifically how they may threaten or limit human autonomy, agency, and expression. At Cornell, Margot is advised by Helen Nissenbaum, and receives supervisory support from Karen Levy, Wendy Ju, and Frank Pasquale. Margot holds a B.A. from Oberlin College in Economics and an M.A from Columbia University in Sociology. Alongside pursuing her studies, Margot creates research-based art and has work currently on display at Mmuseumm in NYC.