Ewin Tang is a PhD student in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, advised by James Lee. Previously, Ewin was an undergraduate at the University of Texas at Austin, where she was advised by Scott Aaronson. Her interests are broadly in quantum computing, probability, and complexity. Her recent research has focused on analyzing proposed speedups of quantum machine learning algorithms.