Senior Statistician, Statistical Sciences Group, US Army CCDC Armaments Center
Principal Data Scientist, Systems Analysis Division, Systems Engineering Directorate
U.S. Army Combat Capabilities Development Command (CCDC)
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
Biography: Dr. Douglas Ray, PStat, is the Principal Data Scientist in the Systems Analysis Division (SAD) at the US Army CCDC Armaments Center at Picatinny Arsenal, NJ. Prior to working in the Systems Engineering Directorate’s SAD he had established the Armament Center’s core Statistical Sciences consulting group in the Quality Engineering Directorate, where he worked as the organization’s senior Mathematical Statistician for 13 years. His work focuses on applying analytics to DoD armament systems across the acquisition lifecycle for the Warfighter. This work includes Design of Experiments (DOE), reliability data analysis, machine learning, uncertainty quantification, and probabilistic optimization of computational models and simulations. Dr. Ray provides technical leadership to dozens of statisticians, operations research analysts, systems engineers, and data scientists who collaborate with engineering and business teams on a spectrum of armament projects and systems. Dr. Ray is a past 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.
Dr. Ray’s Ph.D. research in Systems Engineering is closely aligned with his day-to-day work where he and his colleagues adapt modern data analytics approaches to armament systems. The major contributions of his Ph.D. 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 Dr 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 over 15 years of experience as a DoD Mathematical Statistician he is also a retired combat veteran of the US Army.
Dr. 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, and a Ph.D. Systems Engineering with an emphasis on Data Analytics from Stevens Institute of Technology.
D. Ray, J. Ramirez-Marquez, “The intersection of data visualization and desirability in set-based design, tradespace analysis and multi-objective optimization”, manuscript in review.
V. R. Joseph, D. Ray, J, Ramirez-Marquez, "D-Optimal Latin Hypercube Space-Filling Designs for Variable Screening", manuscript in process.
D. Ray, J. Ramirez-Marquez, “Visual Framework for Statistical Model Validation Metrics in System Trade Studies”, manuscript in process.
D. Ray, J. Ramirez-Marquez, “The intersection of data visualization and desirability in set-based design, tradespace analysis and multi-objective optimization”, MORS Symposium, (2021).
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).
B. Chell, D. Ray, “Analysis and Optimization of Mission-Level Stochastic Simulations with UAS Case-Study”, DATAWorks, (2018), Springfield, VA.
C. Drake, D. Ray, “Screening Designs for Resource Constrained Deterministic M&S Experiments: A Munitions Case Study”, DATAWorks, (2019), Springfield, VA.
D. Ray, “Uncertainty Quantification-driven Model-Based Engineering for DoD System Design and Evaluation”, SERC-SDSF, (2017), Washington, DC.