Morgane Austern is an assistant professor in Statistics at Harvard University. She is interested in developing probability tools for modern machine learning and in establishing the properties of learning algorithms in structured and dependent data contexts. Prior to joining Harvard, she was a postdoctoral research at Microsoft Research NE. She obtained her PhD from Columbia University where she worked with Peter Orbanz and Arian Maleki.