Ce Zhang

Ce Zhang is an Assistant Professor in Computer Science at ETH Zürich. Zhang believes that by making data—along with the processing of data—easily accessible to laypeople, there is the potential to make the world a better place. Zhang’s current research focuses on building data systems to support machine learning and help facilitate other sciences. Before joining ETH, Zhang was advised by Christopher Ré. He finished his PhD round-tripping between the University of Wisconsin-Madison and Stanford University, and spent another year as a postdoctoral researcher at Stanford. His PhD work produced DeepDive, a trained data system for automatic knowledgebase construction. Zhang participated in the research efforts that won a SIGMOD Best Paper Award and a SIGMOD Research Highlight Award, and was featured in special issues, including “Best of VLDB” and Nature magazine.