MAJ Hayden Deverill Senior Instructor Mathematical Sciences hayden.deverill [at] westpoint.edu About Education Research & Publications MAJ Deverill graduated USMA in 2012, commissioning as an Engineer Officer. After the Engineer Basic Officer Leader Course, MAJ Deverill served as a Platoon Leader and Battalion Assistant Operations Officer in the 62nd Engineer Battalion, 36th Engineer Brigade both at Fort Hood, TX and Liberia in support of Operation United Assistance. Following the Engineer Captain’s Career Course, MAJ Deverill served as the Battalion Operations Officer of the 31st Engineer Battalion, 1st Engineer Brigade at Fort Leonard Wood, MO. He then served as the Company Commander of B Company, 35th Engineer Battalion, 1st Engineer Brigade at Fort Leonard Wood, MO. Upon completing company command, MAJ Deverill attended the University of Virginia earning a Master of Science in Systems Engineering. MAJ Deverill currently serves an Instructor in the Department of Mathematical Sciences. B.S. in Systems Engineering - U.S. Military Academy M.S. in Engineering Management - Missouri University of Science and Technology M.S. in Systems Engineering - University of Virginia Research Interests Data Science, Optimization, Machine Learning, People Analytics, Natural Language Processing Current Research Generative Artificial Intelligence in Undergraduate Research at the US Military Academy, Human and Machine Partnership: Natural Language Processing of Army Insider Threat Hub Data, Measuring Grit in the USMA Cadet Journey Projcess Selected Publications PublicationsH. A. Deverill, W. T. Scherer, M. D. Porter, and A. C. Stam, “The Utility of Machine Learning Applied to Military Assessment and Selection,” Military Operations Research Journal, vol. 29, no. 2, pp. 53–94, 2024. url: https://www.jstor.org/stable/27317896.PresentationsH. Deverill, J. Scudder, J. Paynter, and J. Bluman, “The Impact of Generative Artificial Intelligence in Undergraduate Research: A USMA Perspective,” in Proceedings of the 2024 Army Operations Research Symposium: "Impacting Commander and Senior Leader Decisions through Analysis" (AORS 2024), Presentation, Aberdeen Proving Ground, MD, 2024.H. Deverill, J. Scudder, J. Paynter, and J. Bluman, “Generative Artificial Intelligence in Undergraduate Research at the US Military Academy,” in Proceedings of the 2024 Army University Learning Symposium: "Artificial Intelligence Applications for Learning" (AULS 2024), Poster, Presentation, and Question & Answer, Fort Leavenworth, KS, 2024.H. A. Deverill, W. T. Scherer, M. D. Porter, and A. C. Stam, “Modeling Candidate Success Using Military Assessment and Selection Data,” in Proceedings of the University of Virginia Engineering Symposium (UVERS 2022), Poster, Charlottesville, VA, 2022.H. A. Deverill, W. T. Scherer, M. D. Porter, and A. C. Stam, “The Utility of Machine Learning Applied to Military Assessment and Selection,” in Proceedings of the 90th Military Operations Research Society Symposium: “Innovative Analysts Supporting Integrated Deterrence" (MORS 2022), Presentation, Quantico, VA, 2022.