Christopher Ré received a B.S. (2001) from Cornell University and a Ph.D. (2009) from the University of Washington at Seattle. He was an assistant professor (2009–2013) at the University of Wisconsin at Madison before joining the faculty of Stanford University, where he is currently an assistant professor in the Department of Computer Science. His work has been recognized with best paper awards from PODS (Annual Symposium on Principles of Database Systems) and SIGMOD (Annual ACM International Conference on Management of Data) and has appeared in such proceedings and journals as SIGMOD, VLDB (Proceedings of the Annual Conference on Very Large Data Bases), and Neural Information Processing Systems (NIPS), among others. Christopher Ré is a computer scientist democratizing big data analytics through theoretical advances in statistics and logic and groundbreaking data-processing applications for solving practical problems. Ré has leveraged his training in databases and deep knowledge of machine learning to create an inference engine, DeepDive, that can analyze data of a kind and at a scale that is beyond the current capabilities of traditional databases.
| Types | Person, Academic |
| Aliases | Christopher Re |