Chris Mattmann is an experienced Senior Executive, and has filled multiple C-Suite roles including Chief Technology Officer, Chief Data Officer, and Chief Research Officer across multiple industries. He is Division Manager of the Artificial Intelligence, Analytics and Innovative Development Organization at NASA JPL. At JPL Mattmann is the Chief Technology and Innovation Officer and reports to the CIO. He manages advanced IT research and open source and technology evaluation and infusion. Mattmann is 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 23 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. He was the first Vice President (VP) of Apache OODT, the first NASA project at the Apache Software Foundation (ASF) and he led the project's transition from JPL to the ASF.
He contributes to open source and was a member of the Board of Directors at the Apache Software Foundation (2013-18) and was one of the initial contributors to Apache Nutch as a member of its project management committee, the predecessor to Apache Hadoop. Mattmann is the progenitor of the Apache Tika framework, the digital "babel fish" and widely used content analysis and data analytics framework. Mattmann contributes to TensorFlow, Google’s machine learning platform and has recently finished a book on Machine Learning for TensorFlow, 2nd edition published by Manning Publications. Mattmann is an expert in Artificial Intelligence.
Mattmann is the Director of the Information Retrieval & Data Science (IRDS) group at USC and Adjunct Research Professor ("Full Professor"). He teaches and has incepted graduate courses in Data Science, Web 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 which won the Pulitzer Prize in Journalism in 2017.
Contact: http://mattmann.ai
Represented by Chartwell Speakers.
Semester |
Role |
Course Title |
Instructor |
Spring 2024 | Instructor |
Dr. Chris Mattmann |
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Spring 2023 | Instructor |
Dr. Chris Mattmann |
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Spring 2021 | Instructor |
Dr. Chris Mattmann |
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Spring 2020 | Instructor |
Dr. Chris Mattmann |
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Spring 2018 | Instructor |
Dr. Chris Mattmann |
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Spring 2016 | Instructor |
Dr. Chris Mattmann |
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Fall 2015 | Instructor |
Dr. Chris Mattmann |
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Spring 2015 | Instructor |
Dr. Chris Mattmann |
For more information about teaching dating back to 2001, visit my old page on the Wayback Machine.
We are now actively publishing our work from the DARPA MEMEX project. You can find the most recent publications here.
I no longer maintain an exhaustive list of my publications. The easiest ways to stay up to date with them would be to scope out my CV, or to check out Google Scholar, or DBLP as it provides a reasonably up-to-date list of my publications, including links to electronic copies of the articles from publisher sites.
I have contributed to a number of open source efforts namely at the Apache Software Foundation, where I was a Director from 2013-2018 and elsewhere. I have also recently contributed to Google's TensorFlow which was awesome. In general I love open source and try to make time for it.
See the group page at the Information Retrieval and Data Science Group