Bio

Ce is an Associate Professor in Computer Science at ETH Zürich. He believes that by making data—along with the processing of data—easily accessible to non-CS users, we have the potential to make the world a better place. His current research focuses on building data systems to support machine learning and help facilitate other sciences. Before joining ETH, Ce 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 knowledge-base construction. He participated in the research efforts that won the SIGMOD Best Paper Award (2014) and SIGMOD Research Highlight Award (2015), and was featured in special issues including ''Best of VLDB'' (2015), and the Nature magazine (2015). Website: https://ds3lab.inf.ethz.ch/members/ce-zhang.html