Christopher Ré Speaker & Booking Information
Assistant Professor Department of Computer Science at Stanford University
Speaker’s Fee Range: Please Contact
Travels From: Stanford CA USA
About Christopher Ré
Christopher Ré Biography
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.DeepDive analyzes “dark data”—or the mass of unprocessable data buried in texts illustrations images etc.; it then extracts relationships among entities (i.e. real-world objects) in the data and infers facts involving those entities. These facts or assertions form a knowledge base which can then be integrated into an existing database. DeepDive has proved to be more accurate than human annotation and it can be “trained” even by users without computer science expertise to improve the quality of results through simple domain-specific rules and low-level feedback about correct or erroneous predictions. Ré is also working to overcome the technical challenge of computing the many possible interpretations of each data item with speed and efficiency. He has made significant advances in Incremental (Stochastic) Gradient Descent (IGD) and has prototyped Hogwild! which enables data analysis on a multicore machine and Bismarck which integrates various analytical tasks into a traditional database system without the need for separate code paths.
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