Dan Fu is a PhD student in the Computer Science Department at Stanford University, where he is co-advised by Christopher Ré and Kayvon Fatahalian. His research focuses on understanding the principles behind why machine learning methods work and using that understanding to build the next generation of ML systems. He is supported by a Department of Defense NDSEG fellowship.