I bring executive leadership in animal welfare and veterinary operations together with federal technology governance, applied research, and AI policy contributions. My career spans directing animal-services organizations, leading international veterinary operations, serving in the U.S. Army Veterinary Corps, and guiding multidisciplinary teams in complex federal technology environments. I am a veterinary technologist by training, hold an MBA, and am pursuing a Doctor of Computer Science.

My work addresses how organizations translate AI governance into accountable decisions, enforceable boundaries, and evidence of what actually happens after deployment. I contribute to NIST public consultations and IEEE working groups, publish research, and speak on AI governance and organizational readiness.

I am developing Decision Trace to connect animal-care evidence, AI recommendations, human authority, and downstream actions. The proposed program examines whether AI systems preserve animal-welfare requirements under operational pressure, recognize insufficient evidence, and support effective correction when earlier recommendations remain embedded in records or tasks.

My goal is to turn these operational findings into reusable evaluations and deployment requirements that influence how increasingly capable AI systems are built, purchased, and used. I bring both the animal-care experience to identify consequential failures and the governance leadership to translate those findings into organizational action.