Faculty Profile: Joseph Marr

Joseph Marr

Joseph Marr

Term Associate Professor


Primary Research Areas: Data Science, Natural Language Processing, Machine Learning

Office: 225 Research Hall, MS 6A12    
Phone: 703-993-5017

Professional Background

Dr. Marr’s experience and research interests span data science (predictive and cognitive analytics), artificial intelligence (algorithms, machine learning, natural language processing, expert systems), computational linguistics, applied mathematics (numerical modeling and simulation of coupled mass/heat transfer systems) and combustion science (chemical kinetics, thermochemistry, computational chemistry, energy systems).  He is currently employed as the principal data scientist at DZYNE Technologies, Inc., where he leads a data analytics team that is forward-deployed to DARPA.  The team conducts research and development on problems involving very large, distributed datasets.

He has been employed previously as Senior Principal Scientist and Chief Data Scientist at Syntasa, Inc., as a Senior Research Engineer at DataFusion Corp., as a Technical Specialist at MH2 Technology Law Group, as an Engineering Project Lead for Lockheed Martin Corporation, as Corporate Fellow and Senior Principal Scientist at Abraxas Corporation, and as Executive Vice President of Technology for RAI, LLC.  Throughout his career, he maintained a record of success in both the public and private sectors, as an individual contributor, as a technical program manager and as an inventor. He has won several awards, including Lockheed Martin’s prestigious President’s Circle Award, given to the top 1% of Lockheed employees.

Since Summer 2011, Dr. Marr has taught CDS-130:  “Computing for Scientists”, a popular, introductory modeling and simulation course offered by the Department of Computational and Data Sciences in GMU’s College of Science. He currently leads the Department’s development of CDS-130, to introduce students to the new paradigm of computational thinking.  Additionally, he serves as the CDS Undergraduate Advisor, and also supervises undergraduate data science research.  Undergraduate students under his direction have won 3rd place, 2nd place and 2nd place at the Spring 2014, Spring 2015 and Spring 2016 College of Science Undergraduate Research Colloquia, respectively.  Undergraduate students who are interested in research experiences are encouraged to contact Dr. Marr directly; past students have obtained semester credit for research projects by enrolling in CDS-490.

Dr. Marr’s Ph.D. thesis research investigated high temperature synthetic chemistry in gaseous fuel combustion and was supported by the NIH/NIEHS.  The thesis was supervised by Professors John Longwell and Jack Howard.  His post-doctoral research, carried out at MIT’s Energy Laboratory, addressed the super-critical water oxidation kinetics of sulfur containing compounds and was supported by the U.S. Army (ARL). He also conducted undergraduate research in synthetic organic chemistry (natural products synthesis) and in automated chemical process control.

Education

  • Ph.D., Chemical Engineering (minor in Applied Mathematics), Massachusetts Institute of Technology
  • M.S., Computer Science (with honors; concentration in artificial intelligence), Johns Hopkins University
  • B.S., Chemical Engineering and Applied Mathematics (Institute Honors Scholar), Illinois Institute of Technology

Professional Affiliations

  • Institute of Electrical and Electronics Engineers (IEEE)

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