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The Bullpen
The Bulls Run Group® is a uniquely equipped group of transformation experts that partners with clients to battle through adversity, uncertainty, and cost obstacles. Our team delivers solutions for the highest risk work domains.
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Cognitive Engineer and Military Intelligence and Cyber Warfare veteran. Stoney is a research professor and principal advisor for research and innovation at Virginia Tech. He designed and secured over $350M to stand up the Joint Artificial Intelligence Center (JAIC) for the Department of Defense. As the Chief of Missions in the JAIC, Stoney established product lines to deliver human-centered AI to improve warfighting and business functions in the world’s largest bureaucracy. Previously, he established and directed U.S. Cyber Command’s $50M applied research lab, which develops and assesses products for the Cyber Mission Force. Stoney has served as a Strategic Policy Research Fellow with the RAND Arroyo Center, and is a former Assistant Professor in the Department of Behavioral Science and Leadership at the United States Military Academy. He has served in combat and stability operations in Iraq, Kosovo, Germany, and Korea. Stoney is a graduate of the Army War College and former Cyber Fellow at the National Security Agency.
Military Intelligence veteran, historian, and leadership development coach. Jim is an Adjunct Professor at The University of Texas at Arlington. He provides operational expertise for defense and intelligence technology development. As the Senior Intelligence Officer for the National Training Center (NTC) in Fort Irwin, CA, Jim coordinated the planning and execution of intelligence training and wargames for Army units preparing to deploy, and collaborated with the Defense Advanced Research Projects Agency’s INSIGHT program. As a Professor of Military Science, he directed leadership and military technical training for cadets preparing for commissions in the US Army. Jim has served as a Strategic Policy Research Fellow with the RAND Arroyo Center and is a former Assistant Professor of Military History at the United States Military Academy. He has deployed to combat and other operations in Iraq, Saudi Arabia, Germany, and Kosovo.
Terrence Owens is a cybersecurity professional and U.S. Army Special Forces veteran with over 20 years of experience leading mission-critical operations in high-risk environments. As a Green Beret, he developed and led cybersecurity and risk management programs supporting U.S. and allied forces, focusing on operational resilience and protection against digital threats. Terrence has advised and supported cyber defense, compliance, and risk initiatives for U.S. Army Forces Command (FORSCOM), U.S. Special Operations Command (USASOC), federal agencies, and international partners. He brings a strategic, mission-first mindset to every challenge, grounded in leadership, precision, and a deep understanding of cyber risk in complex environments. He holds multiple cybersecurity certifications, a Master’s in Cybersecurity Risk Management from Georgetown University, and is a graduate of the U.S. Air Force Command and Staff College.
Computational social scientist with expertise in artificial intelligence, cyber security, and international security and economics. Amy is an Assistant Professor and Program Director of Computer Science at King’s College, and has also served on the faculty of Northeastern University in both Computer Science and Political Science. She has over 15 years experience developing large-scale data analytics and artificial intelligence models of human behavior to support decision making in the National Security and Intelligence Communities, with particular focus on proactive cyber defense through modeling cyber adversary behaviors, identifying optimal courses of action in complex and uncertain environments, and developing causal models of interdependent PMESII (political, military, economic, social, information, infrastructure) dimensions in international conflict. As an experienced Principal Investigator and Project Manager, Amy has led diverse, interdisciplinary teams as a prime on DARPA and IARPA programs as well as SBIR/STTR research initiatives. Amy collaborated with the National Defense University on analysis of the strategic and legal aspects of cyber warfare and worked for the World Bank developing behavioral modeling technologies for education logistics and planning in Nigeria.
Mengyun is a Ph.D. candidate and Graduate Research Associate in the Cognitive Systems Engineering Laboratory. Prior to joining the Cognitive Systems Engineering Laboratory, she led process improvement projects in the manufacturing industry, resulting in labor and lead time reduction. Mengyun's extensive industry experience in leading various process improvement projects, working closely with frontline workers, addressing customer needs, and advising management of project opportunities helps her understand componential improvements do not always lead to intended organizational outcomes. Mengyun's academic training and research experience equips her with a systems perspective, her ability to work with diverse stakeholders, conduct user research, understand complex work domains, and evaluate decision support tools in joint human-machine systems helps her recommend changes on a system scale.
Robert Hoffman is a recognized world leader in cognitive systems engineering and Human-Centered Computing. He is a Senior Member of the Association for the Advancement of Artificial Intelligence, Senior Member of the Institute of Electrical and Electronics and Engineers, Fellow of the Association for Psychological Science, Fellow of the Human Factors and Ergonomics Society, and a Fulbright Scholar. His Ph.D. is in experimental psychology from the University of Cincinnati. His Postdoctoral Associateship was at the Center for Research on Human Learning at the University of Minnesota. He served on the faculty of the Institute for Advanced Psychological Studies at Adelphi University. He has been Principal Investigator, Co-Principal Investigator, Principal Scientist, Senior Research Scientist, or Principal Author on over 60 grants and contracts including alliances of university and private sector partners. He has been a consultant to numerous government organizations. He has been recognized internationally in the fields of psychology, remote sensing, human factors engineering, intelligence analysis, weather forecasting, and artificial intelligence—for his research on the psychology of expertise, the methodology of cognitive task analysis, human-centering issues for intelligent systems technology, and the design of macro-cognitive work systems. His current work focuses on "Explainable AI."
Bailey Gallagher is a software engineer specializing in machine learning and data science. She earned her bachelor's degree in Computer Science with a minor in Mathematics from King's College. Bailey is currently developing advanced artificial intelligence systems to strengthen cybersecurity initiatives. She leverages her strong foundation in mathematics and data science to design and implement efficient data analysis pipelines across diverse datasets.
Nicholas specializes in financial analysis and business development efforts, leveraging his understanding of cost estimation models for emerging and existing projects. As a current economics student at the College of William and Mary, he has led published research on interest rates, debt instruments, and various equities. Dedicated to enhancing financial literacy, Nicholas has developed online resources and organized guest speakers to educate diverse student groups on sound investing practices. As an executive board member at the College of William and Mary’s consulting program, he applies economic thought to create and grow new initiatives. Nicholas has a broad range of project management experience, spanning commercial enterprises to federal proposal undertakings.
Van has over 15 years of work experience in defense and commercial projects involving software development, testing, and automation. He has excelled in roles that include tester, developer, system administrator, and tech lead for the various systems, including radar systems, satellite systems, transportation systems, MES systems, and smart technical manuals. Previously, Van was in the Raytheon Rotation Leadership Development program, where he went through cross-functional training and leadership development. Van has Security+ and Raytheon Six Sigma certifications. Van has a bachelor's and master's degree in computer science with a master's thesis in natural language processing (NLP) for assisting semi-auto tutoring systems.
Aayushi is a multidisciplinary researcher and software engineer specializing in human-computer interaction and human-centered artificial intelligence. With dual Bachelor's degrees in Computer Science and Psychology and a Master's in Computer Science from the University of Maryland, College Park, Aayushi intertwines technical proficiency with insight into human behavior. This unique perspective enables her to design and develop user-centric software solutions for diverse audiences, spanning both front-end and back-end development. Her research experiences at the University of Maryland and Army Research Laboratory involved leading studies on data scientists' communication patterns and collaborating on publications that explore human-agent teaming dynamics across domains, including intrusion detection, intelligence analysis, and content moderation.
Brandon Beltz is a Senior User Experience Researcher at the Bulls Run Group with 16 years of experience enhancing software product usability and adoption. He has led multimethod research projects across several industries including digital health, finance, and intelligence analysis tools. His professional roles have included Senior User Research Manager at Sage, Director of User Experience Research at Vibrent Health, and user experience leadership roles at MITRE and Northrop Grumman. Brandon holds a Ph.D. in Experimental Psychology with a focus on Human Factors and Applied Cognition.
Michael Murray is a software engineer focusing on artificial intelligence and large-scale data analysis. He graduated from King's College with a bachelor's degree in Computer Science-Business and a minor in Data Analytics. Michael is leading efforts to create cutting-edge technology by leveraging his proficiency in back-end development and data sciences. Michael is utilizing his skillset to research large-scale heterogenous datasets, automate correlations, and develop scalable artificial intelligence systems for data ingestion.
