Chris Mattmann




I am the Chief Architect in the Instrument and Data Systems section, at the Jet Propulsion Laboratory (JPL) in Pasadena, California and an Adjunct Associate Professor in the Computer Science Department within USC's Viterbi School of Engineering.

At JPL, I developed the third generation of the Apache Object Oriented Data Technology (OODT) data processing and information integration system. OODT is an open source, data-grid middleware used across many scientific domains, such as planetary science, cancer research (go figure), and computer modeling, simulation and visualization. For more detail on OODT you can check out my ICSE 2006 paper that appeared in the Software Engineering Challenges and Achievements track and my 2009 IEEE Space Mission Challenges for Information Technology (SMC-IT) paper describing the refactorization and re-architecting of the data processing framework.

At USC, I teach the course CSCI 578: Software Architectures and I teach CSCI 572: Information Retrieval and Search Engines. See the Teaching section below for more information. In case you are interested in my other work, my CV is available here. I also have a research statement that describes my vision for data science in terms of my existing training, and where I'm headed.

From September 2003 to August 2007, I worked in the Software Architecture Research Group, a research group within the Computer Science Department at the University of Southern California, directed by Dr. Nenad Medvidović. I received my B.S. degree in Computer Science from USC in 2001, and my M.S. degree in Computer Science, with an emphasis in Multimedia and Creative Technologies, from USC in 2003. In July 2007, I defended my Ph.D. and graduated from USC. If you're looking for my Ph.D. dissertation, it's available here.

The overarching theme of my research is the design of large-scale, distributed, data intensive systems. My dissertation research investigated software connectors and their properties in highly distributed and voluminous data-intensive systems. The research area grew out of the growing need at NASA and other scientific research institutions and universities to understand the tradeoffs amongst available off-the-shelf classes of data movement technologies, such as client/server protocols including RMI, CORBA, and SOAP, peer-to-peer mechanisms, such as Bittorrent, or JXTA, grid technologies, such as GridFTP, and event-based technologies, such as publish-subscribe systems.

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Sep 2nd 2014

This is an intensive, advanced summer school (in the sense used by scientists) in some of the methods of computational, data-intensive science. It covers a variety of topics from applied computer science and engineering, and statistics, and it requires a strong background in computing, statistics, and data-intensive research.

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