Luke Bailey is a PhD student at Stanford University in Computer Science. He has previously conducted research with the UC Berkeley Center for Human Compatible AI and Harvard Data to Actionable Knowledge labs. His main focus is improving the robustness of AI models through the development of new training algorithms and increased theoretical understanding of failure modes. Previously, Luke received a B.A. Computer Science and Mathematics and M.S. in Computer Science from Harvard University.