Skip to main content
Chris Re

Chris Re
Assistant Professor, Stanford University | Apple

Website | @HazyResearch

Christopher (Chris) Re is an assistant professor in the Department of Computer Science at Stanford University. The goal of his work is to enable users and developers to build applications that more deeply understand and exploit data. Chris received his PhD from the University of Washington in Seattle under the supervision of Dan Suciu. For his PhD work in probabilistic data management, Chris received the SIGMOD 2010 Jim Gray Dissertation Award. Chris’s papers have received four best-paper or best-of-conference citations, including best paper in PODS 2012, best-of-conference in PODS 2010 twice, and one best-of-conference in ICDE 2009). Chris received an NSF CAREER Award in 2011 and an Alfred P. Sloan fellowship in 2013.


Data Science
Ballroom AB
Chris Re (Stanford University | Apple)
Average rating: ****.
(4.18, 11 ratings)
A new generation of data processing systems, including web search, Google's Knowledge Graph, IBM's Watson, and several different recommendation systems, combine rich databases with software driven by machine learning. This talk describes our recent thoughts on one crucial pain point in the construction of trained systems feature engineering. Read more.