Ce is a postdoctoral researcher in the Department of Computer Science at Stanford University. He is working with Christopher Ré on problems related to data management and database systems. Ce is especially interested in understanding how to build a general platform for the next generation of analytics tasks that are probabilistic, Web-scale, and declarative to developers. With indispensable help from many collaborators, his PhD work produced the system DeepDive, a trained data system for automatic knowledge-base construction. As part of his PhD thesis, the joint work on feature selection won the 2014 SIGMOD Best Paper Award; PaleoDeepDive, a machine-reading system for paleontologists, was featured in the Nature magazine; and he was also a member of the Stanford team that produced the top-performing machine-reading system for TAC-KBP 2014 slot-filling evaluations using DeepDive. Ce obtained his PhD from the University of Wisconsin-Madison, advised by Christopher Ré, and his bachelor of science degree from Peking University, advised by Bin Cui.