I am a Senior AI Researcher and Engineer at The Church of Jesus Christ of Latter-day Saints and Affiliate Faculty at Brigham Young University. My work focuses on trustworthy AI, AI assurance, and practical methods for evaluating how AI systems behave in real human contexts.

I am involved with the Consortium for Evaluating Faith and Ethics in AI (CEFE-AI), a multi-institution effort producing pluralistic research on faith, ethics, morality, and AI. Recent work includes benchmarks and studies of religious representation and faith-transition guidance in large language models.

The main thread through my research is the measurement and assessment of AI performance: both in operational contexts, using standard engineering and optimization metrics, and through more holistic measures that account for cognitive and social factors such as trust, team interaction, and ethics. Earlier work applied this lens to autonomous systems, human-machine teaming, and AI assurance in academic and industry research settings, including work at RTX/Raytheon Technologies. This includes work on algorithmic assurances for human-autonomy trust, Factorized Machine Self-Confidence for autonomous-system competency assessment, and Bayesian optimization methods for adaptive simulation-based training of AI decision-makers.