Dr. Chris Mattmann

Chris Mattmann is the Chief Technology and Innovation Officer and the Division Manager for the Artificial Intelligence, Analytics and Innovation Development Organization in the Information Technology and Solutions Directorate (ITSD) at NASA JPL. Dr. Mattmann is also JPL's first Principal Scientist in the area of Data Science. The designation of Principal is awarded to recognize sustained outstanding individual contributions in advancing scientific or technical knowledge, or advancing the implementation of technical and engineering practices on projects, programs, or the Institution. He has over 17 years of experience at JPL and has conceived, realized and delivered the architecture for the next generation of reusable science data processing systems for NASA's Orbiting Carbon Observatory, NPP Sounder PEATE, and the Soil Moisture Active Passive (SMAP) Earth science missions. Mattmann's work has been funded by NASA, DARPA, DHS, NSF, NIH, NLM and by private industry and commercial partnerships. Mattmann was the first Vice President (VP) of Apache OODT (Object Oriented Data Technology), the first NASA project to enter the Apache Software Foundation (ASF) and he led the project's transition from JPL to the ASF.

He contributes to open source as a Director at the Apache Software Foundation where he was one of the initial contributors to Apache Nutch as a member of its project management committee, the predecessor to the Apache Hadoop project. Mattmann is the progenitor of the Apache Tika framework, the digital "babel fish" and de-facto content analysis and detection framework that exists.

Mattmann is the Director of the Information Retrieval & Data Science (IRDS) group at USC and Adjunct Associate Professor. He teaches graduate courses in Content Detection & Analysis & in Search Engines & Information Retrieval. Mattmann has materially contributed to understanding of the Deep Web and Dark Web through the DARPA MEMEX project. Mattmann's work helped uncover the Panama Papers scandal.

  • Ph.D., Computer Science, University of Southern California (2007)
  • M.S., Computer Science (Multimedia & Creative Technologies) (2003)
  • B.S., Computer Science (2001)

Research Interests: 

Information Retrieval, Automation & Machine Learning, Search Engines, Open Source, IoT, Quantum Computing, Distributed Computing, Software Architectures

Professional Experience: 

2001 – present, Jet Propulsion Laboratory, California Institute of Technology (NASA JPL)

  • Chief Technology and Innovation Officer, 2021 - present
  • Division Manager, Artificial Intelligence, Analytics and Innovative Development Organization, 2020  – present
  • Deputy CTIO, Office of the CIO, 2017 – 2020
  • Principal Data Scientist, Engineering & Science Directorate, 2016 – 2017
  • Chief Architect, Instrument and Science Data Systems Section, 2014 – 2016
  • Principal Data Scientist, 2014
  • Member of Technical Staff, 2001 – 2014


2007 – present, University of Southern California

  • Director, Information Retrieval & Data Science (IRDS) group, 2014 - present
  • Adjunct Associate Professor, 2013 – present
  • Adjunct Assistant Professor, 2007 - 2013

Selected Awards: 
  • JPL Team Award, USC Capstone Partnership - JPL/USC, Instrument Software and Science Data Systems, 2016.
  • JPL Bonus Award, Outstanding Individual Contribution, Instrument Software and Science Data Systems, 2014.
  • Ticke’s Notable Scientists List https://twitter.com/ticckle/lists/notable-scientists, 2014.
  • NASA Group Achievement Award, Early Detection and Research Network (EDRN), 2011.
  • SoftArtisans 30 Hadoop and Big Data Spelunkers Worth Following List http://bit.ly/vEUQre, 2011.
  • JPL Mariner Award, Outstanding Individual Contribution, Instrument Software and Science Data Systems, 2011.
  • West Federal Labs Consortium Outstanding Partnership Award, NASA ARRA Water Resource Management Project, 2011.
  • First NASA Member of the Apache Software Foundation (ASF), 2010.
  • NASA Team Award, Orbiting Carbon Observatory (OCO), 2009.
  • NASA Group Achievement Award, Planetary Data System (PDS), 2008.
  • NASA Software Reuse WG Peer-Recognition Award (OODT CAS), October 2008.
  • NASA Space Act Award (OODT CAS), September 2008.
  • NASA Team Bonus Award, Orbiting Carbon Observatory (OCO) mission, September 2008.
  • NASA Tech Briefs Award (OODT CAS), October 2007.
  • NASA Group Achievement Award, Planetary Data System (PDS), October 2007.
  • NASA Group Achievement Award, Object Oriented Data Technology (OODT) project, October 2007.


Selected Publications: 
  1. Mattmann, Chris A. "Computing: A vision for data science." Nature 493.7433 (2013): 473.
  2. Mattmann, Chris A., et al. "A software architecture-based framework for highly distributed and data intensive scientific applications." Proceedings of the 28th international conference on Software engineering. ACM, 2006.
  3. Mattmann, Chris, and Jukka Zitting. Tika in action. Manning Publications Co., 2011.
  4. Mattmann, Chris A., et al. "Revisiting the Anatomy and Physiology of the Grid." Journal of Grid Computing 13.1 (2015): 19-34.
  5. Mattmann, Chris A., and Madhav Sharan. "Scalable Hadoop-based pooled time series of big video data from the deep web." Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval. ACM, 2017.
  6. Khalsa, Siri Jodha S., Chris A. Mattmann, and Ruth Duerr. "Deep web crawling for insights from polar data." 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017.
  7. Gowda, Thamme, Kyle Hundman, and Chris A. Mattmann. "An approach for automatic and large scale image forensics." Proceedings of the 2nd International Workshop on Multimedia Forensics and Security. ACM, 2017.

See: http://memex.jpl.nasa.gov and https://scholar.google.com/citations?hl=en&user=mJB-HiIAAAAJ for a more comprehensive list.

Chris Mattman
4800 Oak Grove Drive
Pasadena, CA 91109
Phone: 818.354.8810