Faculty Profile: Joseph Marr

Joseph Marr

Joseph Marr

Term Associate Professor
CDS Undergraduate Coordinator


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

Office: 225 Research Hall, MS 6A12    
Phone: 703-993-5017
Fall 2017 Office Hours:
CDS-130: M 6:00p – 7:00p | T 3:00p – 4:00p
Advising Hours: F 9:00a – 11:00a

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)

Undergraduate Teaching and Research Mentoring

CDS-130 “Computing For Scientists” (large lecture format) George Mason University: Fall 2010, Spring 2011, Summer 2011, Fall 2011, Spring 2012, Summer 2012. Fall 2012, Spring 2013, Spring 2014, Fall 2015, Spring 2016, Summer 2016, Fall 2016, Spring 2017. Serve as course director, responsible for managing teaching assistant support and for curriculum design.

CDS-490 “Research Topics”, (small seminar format) George Mason University: Fall 2012, Spring 2013, Fall 2013, Spring 2014.

NEUR-440 “Literature-Based Discovery Methods”, (individualized format), George Mason University: Spring 2016, Fall 2016.

BIOL-495“Computational Methods in Medical Informatics”, (individualized format), George Mason University: Spring 2014.

University OSCAR Scholar Research Mentor (individualized format) George Mason University: Fall 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2014.

University OSCAR Scholar Committee Member: Fall 2014 – Summer 2015.

Representative Publications

Bolduc DL, Marr J, King J and Dudley R (2012) Development of an Algorithm for Calculating the ‘Risk’ of Terrorist-CBRN. J Bioterr Biodef 3:117 doi: 10.4172/2157-2526.1000117

Howard, Jack B.; Longwell, John P.; Marr, Joseph A.; and Pope, Christopher J., Effect of PAH Isomerizations on Mutagenicity of Combustion Products. Combustion and Flame, 1995, 101, 3, 262-270.

Marr, J.A.; Giovane, L.M.; Longwell, J.P.; Howard, J.B.; and Lafleur, A.L. Soot and Tar Production in a Jet-Stirred/Plug Flow Reactor System: High and Low C2H2 Concentration Environments. Combustion Science and Technology, 1994, 101, 1-6, 301-309.

Lafleur, Arthur L.; Howard, Jack B.; Marr, Joseph A.; and Yadav, Tapesh, Proposed Fullerene Precursor Corannulene Identified in Flames Both in the Presence and Absence of Fullerene Production. Journal of Physical Chemistry, 1993, 97, 51, 13539-13543.

Pope, Christopher J.; Marr, Joseph A.; and Howard, Jack B., Chemistry of Fullerenes C60 and C70 Formation in Flames. Journal of Physical Chemistry, 1993, 97, 42, 11001-11013.

Giovane, L.M.; Barco, Joseph W.; Tadav, Tapesh; Lafleur, Arthur L.; Marr, Joseph A.; Howard, Jack B.; and Rotello, Vincent M. Kinetic Stability of the Fullerene C60-Cyclopentadiene Aiels-Alder Adduct. Journal of Physical Chemistry, 1993, 97, 33, 8560-8561.

Lafleur, Arthur L.; Longwell, John P.; Marr, Joseph A.; Monchamp, Peter A.; Plummer, Elaine F.; Thilly, William G.; Mulder, Patrick P.Y.; Boere, Ben B.; Cornelisse, Jan; and Lugtenburg, Johan, Bacterial and Human Cell Mutagenicity Study of Some C18H10 Cyclopenta-fused Polycyclic Aromatic Hydrocarbons Associated with Fossil Fuels Combustion. Environmental Health Perspectives, 1993, 101, 2, 146-153.

Marr, J.A.; Allison, D.M.; Giovane, L.M.; Yerkey, L.A.; Monchamp, P.; Longwell, J.P.; and Howard, J.B. The Effect of Chlorine on PAH, Soot and Tar Yields from a Jet-Stirred/Plug Flow Reactor System. Combustion Science and Technology, 1992, 85, 1-6, 65-76.

Recent Conference Presentations

A. Marr, B. D. Richardson, D. B. Krisiloff, B. J. Radford, C. M. Morris. Plenary Lecture: “Cyberlanguage: Enhancing cybersecurity through statistical and natural language processing techniques”, Conference on Applied Statistics in Defense (CASD 2016), Washington, DC, 24-28 October 2016. https://casd.wordpress.ncsu.edu/abstracts/

Marr, J., Nallamala, H., Shahid, S., Spindel, D., Al-Dhelaan, N., and Wegman, E. Steps Toward the Automated Assembly of Knowledge Bases from Text. Interface 2015, Morgantown, WV. June 10-13, 2015. http://www.stat.wvu.edu/~jharner/Interface2015Abstracts/MarrAbstract.pdf

Marr, J., Jahangeer, M., Crawford, T., Choi, S., Chau, A., Jones, J., Wadan, A., and Wegman, E. IMPLICATION (Implied Causation): Locating and Extracting Causation Statements in Unstructured Text. Conference on Applied Statistics, Alexandria, VA. December 9-13, 2013. http://casid.info/

Recent Undergraduate Research Presentations

Shahid, S., Al-Dhelaan, N., Spindel, D., and Marr, J., IMPLICATION Project: Literature-Based Knowledge Discovery in Medicine—Causation Chains Enabling Preventative Interventions, College of Science Undergraduate Research Colloquium, April, 2016. George Mason University, VA. SECOND PLACE WINNER (2016).

Shahid, S. Spindel, D., and Marr, J., IMPLICATION Project: Building a Network of Non-Interactive Data to Surface Connected Knowledge from Research Journals College of Science Undergraduate Research Colloquium, May, 2015. George Mason University, VA. SECOND PLACE WINNER (2015).

Al-Dhelaan, N., Nallamala, H., Shahid, S., Spindel, D., and Marr, J., Automated Extraction of Text-Based Causation Statements from Medical Research Literature, College of Science Undergraduate Research Colloquium, May, 2015. George Mason University, VA.

Nallamala, H., and Marr, J Detecting and Extracting Causation Statements from Unstructured Text: The Causation Signal “caused by”. College of Science Undergraduate Research Colloquium, May, 2015. George Mason University, VA.

Nallamala, H., Marr, J., and Jahangeer, M., The Automated Discovery of Implied Causation Statements in Medical Research Literature: The Text-based Causation Signal “caused by”, College of Science Undergraduate Research Colloquium, April, 2014. George Mason University, VA. THIRD PLACE WINNER (2014).

Shahid, S. and Marr, J., Locating and Extracting Causation Statements from Medical Research Literature. College of Science Undergraduate Research Colloquium, April, 2014. George Mason University, VA.

Chau, A. and Marr, J., The Automated Discovery of Linked Causation using Causation and Hypernym/Hyponym Phrases in Medical Research Literature. College of Science Undergraduate Research Colloquium, April, 2014. George Mason University, VA.

Choi, S, Jahangeer, M., and Marr, J., Discovery of Implied Causation Statements in Medical Research Literature (IMPLICATION I): Computational Semantics Applied to Medical Informatics — The Causation Signal ” , thus”. College of Science Undergraduate Research Colloquium, April, 2013. George Mason University, VA.

Chau, A., Jahangeer, M., and Marr, J., Discovery of Implied Causation Statements in Medical Research Literature (IMPLICATION II): Computational Semantics Applied to Medical Informatics — The Causation Signal “hence”. College of Science Undergraduate Research Colloquium, April, 2013. George Mason University, VA.

Wadan, A., Jahangeer, M., and Marr, J., Discovery of Implied Causation Statements in Medical Research Literature (IMPLICATION III): Computational Semantics Applied to Medical Informatics — The Causation Signal “due to”. College of Science Undergraduate Research Colloquium, April, 2013. George Mason University, VA.

Jones, J., Jahangeer, M., and Marr, J., Discovery of Implied Causation Statements in Medical Research Literature (IMPLICATION IV): Computational Semantics Applied to Medical Informatics — The Causation Signals “resulting from” and “resulting in”. College of Science Undergraduate Research Colloquium, April, 2013. George Mason University, VA.

Ray, C, Jahangeer, M., and Marr, J., Contextual Machine Learning Through the Analysis and Chunking of Partially Translated Grade 2 Braille. College of Science Undergraduate Research Colloquium, April, 2013. George Mason University, VA.

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