Senior Statistician, Statistical Sciences Group, US Army CCDC Armaments Center
Institution: Stevens Institute of Technology
Advisor: Jose Ramirez-Marquez
Committee: Jose Ramirez-Marquez; Steve Hoffensen; Carlo Lipizzi; Donald Carlucci
Dissertation: Analytics for Model-Based Engineering Trade Studies in the Development of DOD Systems
Graduating: December 2020
Bio: Douglas Ray, PStat, is the Senior Statistician of the Statistical Sciences Group at the US Army CCDC Armaments Center at Picatinny Arsenal, NJ. His work focuses on applying analytics to DoD armament systems across the acquisition life cycle for the Warfighter. This work includes Design of Experiments (DOE), reliability data analysis, machine learning, and uncertainty quantification / probabilistic optimization of computational models and simulations. Mr Ray leads a group of over a dozen statisticians and data scientists who collaborate with engineering and business teams on a spectrum of armament projects and systems. Mr. Ray is the current Chair of the ASA’s Section on Statistics in Defense and National Security (SDNS), an ASA Accredited Professional Statistician, a Lean Six Sigma Black Belt, and an ASQ Certified Reliability Engineer.
Mr Ray’s PhD research in Systems Engineering is closely aligned with his day-to-day work where he and his team adapt modern data analytics approaches to a systems analysis and decision management framework. The major contributions of his PhD dissertation “Analytics for Model-Based Engineering Trade Studies in the Development of Defense Systems” involves the development of a data synthesis framework for model-based systems engineering, a proposed M&S DOE approach for dimension reduction, novel visual tradespace optimization, and computational model Verification & Validation (V&V) using statistical metrics and data visualization. The research is focused on critical gaps in the systems engineering design toolkit and is informed by Mr Ray’s daily work supporting the development of engineered systems representing a number of the Army’s strategic modernization priorities, including Long-Range Precision Fires, Soldier Lethality, Next-Generation Combat Vehicle, and Future Vertical Lift.
In addition to his 13 years of experience as a DoD Mathematical Statistician he is also a retired combat veteran of the US Army.
Mr. Ray holds a B.S. in applied mathematics from the University of Rhode Island and an M.S. in statistical engineering from New Jersey Institute of Technology. He is currently a Ph.D. candidate in Systems Engineering at Stevens Institute of Technology, and a SERC Doctoral Fellow.
D. Ray, J. Ramirez-Marquez, “A Framework for Probabilistic Model-Based Engineering and Data Synthesis”, Reliability Engineering & System Safety (2019), https://doi.org/10.1016/j.ress.2019.106679 .
B. Chell, S. Hoffenson, D. Ray, R. Jones, M. Blackburn, “Optimizing for Mission Success using a Stochastic Gaming Simulation”, CSIAC Journal, (2019).
V. R. Joseph, A. Krishna, and D. Ray, "D-Optimal Latin Hypercube Designs", manuscript in preparation, (2019).
B. Chell, D. Ray, “Analysis and Optimization of Mission-Level Stochastic Simulations with UAS Case-Study”, DATAWorks 2018, Springfield, VA.
Drake, C., Ray, D., “Screening Designs for Resource Constrained Deterministic M&S Experiments: A Munitions Case Study”, DATAWorks 2019, Springfield, VA.