Christopher Ré
Computer Science and Engineering
Email: chrisre at cs
NB: During Spring 08, I am interning at Microsoft Research and will check my UW mail infrequently. Also, I use very aggressive spam filters. If I don’t respond, please try again.
Phone: (206) 685-2385
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Christopher (Chris) Ré is a 5th year graduate student in the department of Computer Science and Engineering at the University of Washington advised by Dan Suciu. Chris’ interests are theoretical and practical problems in data management. His academic papers can be found here. His current work is in probabilistic data management. Current Projects MystiQ is a probabilistic relational database designed to handle imprecision resulting both from newer applications such as information extraction and social networking data and classical applications such as object reconciliation and data cleaning. The central theme is processing complex SQL queries on large amounts of probabilistic relational data. This work has developed techniques such as extensional plans for aggregates, multisimulation and materialized views of probabilistic data. Lahar is a successor to the Peex project. The goal of both projects is to manage data from the RFID ecosystem, which is a building wide RFID deployment at the Paul Allen Center at the University of Washington. The technical contribution of this work is a suite of algorithms to manage data in both near real-time and historical streams. This project is joint work with Julie Letchner, Prof. Magdalena Balazinska and Prof. Dan Suciu. Look for our demonstration of Peex and research paper about Lahar at the upcoming SIGMOD 2008 in Vancouver, Canada. Older Projects Galax is an open-source implementation of XQuery 1.0, the W3C XML Query Language. My work on Galax included the design of the algebraic compiler which recovered classical optimizations, notably join optimizations, inside the full XQuery language. XQuery! (read: XQuery-Bang) is a fully compositional update language that extends XQuery 1.0, the W3C XML Query Language. The idea is to allow recovery of classical database optimizations (joins, cursors and indices) while at the same time providing imperative features (updates and variable assignment). SilkRoute is a platform to translate XQuery to SQL in a performant and largely complete way. It allows users to publish their relational data effectively and easily. XBrain is a web-based application built on SilkRoute designed to allow researchers to query SIG’s Brain Mapping Database. The query language used is XQuery, and the resulting XML can be viewed directly or automatically transformed into HTML, CSV, or visualized on an image of brain regions. |
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Computer Science & Engineering |
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