Founder and CEO of PureCipher, building the trust layer for AI in mission-critical environments. A growth-focused executive across startups and Fortune 100 companies, with work spanning cybersecurity, encryption and AI/ML. MBA from Wharton; MS and BS in Electrical Engineering from Cornell.

Leads the deployment of secure AI infrastructure for U.S. Government and Department of Defense missions. His background spans advanced computing systems, real-time data architectures and intelligent platforms, consistently translating innovation into operational capability.

Professor of AI/ML at Gonzaga University, a TEDx speaker and an inventor with multiple patents. His work spans applied artificial intelligence, system design and innovation at the intersection of research and deployment. MS in Computer Science, University of Maine; BS in Physics, Boston University.

Research scientist specializing in quantum cryptanalysis and post-quantum cryptographic algorithms, with contributions to NIST’s standards for quantum-resilient cryptography. At PureCipher he develops quantum-safe architectures and secure AI systems. PhD in Mathematics, Florida Atlantic University.

Research scientist in neuro-symbolic artificial intelligence, evolutionary computation, bioinformatics and complex dynamical systems, and formerly a tenured professor of Computer Science and Mathematics at Adams State University. PhD in Mathematics, University of Wisconsin.

Senior technology executive with 30+ years across AI systems, AdTech, FinTech and healthcare, from industrial automation in Germany to enterprise software at TCS and leadership at Zeta Global. At PureCipher he leads applied AI and quantum-resistant engineering. MS in Industrial Engineering, PSG College of Technology.