Practitioners, strategists, and domain leaders who extend the Foundation’s reach into real-world systems — translating governed architecture into deployable intelligence across high-stakes sectors.
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Industrial AI & Analytics
Identity & Security
Governance Frameworks
Capital & Strategy
Infrastructure Systems
Fellows are active architects of responsible deployment — contributing to governance framework development and cross-sector adoption pathways worldwide.
As a Senior Fellow, Tor Jakob guides the translation of mindful architectures into scalable real-world applications in manufacturing, energy, and infrastructure — domains where resilient, accountable intelligence is not aspirational but mission-critical.
Bob Gardner is a technology strategist and executive leader with deep expertise in applied computational systems and identity security. He currently serves as CEO of Civil Identity at Idemia Identity & Security North America, overseeing strategic transformation of authentication technologies in crucial civil and enterprise infrastructures.
Gardner’s career includes leadership across governance-sensitive digital transformation environments — giving his work a distinctive architectural perspective on scalable, coherent identity systems. He also serves as a Senior Advisor to the president of Rice University in Houston.
Bob’s expertise sits at the intersection of technology engineering, and commercialization — bringing deep institutional knowledge of Silicon Valley’s innovation ecosystem to the Foundation’s mission of governed, coherent AI architecture.
Michael Leiblein is a seasoned leader in strategy research and education whose work has shaped how organizations make consequential decisions under uncertainty. A Professor of Strategic Management at The Ohio State University, his scholarship examines the interplay between governance, capability development, and long-term value creation, with publications in leading academic journals. Over more than two decades, he has helped build interdisciplinary programs that bridge engineering, business, and innovation, while also advising senior leaders and institutions on navigating complex strategic trade-offs. His work is distinguished by a rare ability to connect rigorous theory with real-world decision-making, particularly in environments where uncertainty, commitment, and adaptability must be carefully balanced.
As a Fellow of the Mindful AI Foundation, Leiblein brings this deep expertise to the emerging challenges of artificial intelligence, where questions of governance, structure, and long-horizon value are increasingly central. He has been a pioneer in applying AI and advanced analytical thinking to business problems, helping organizations translate technological capability into strategic advantage while managing risk and uncertainty. His perspective aligns closely with the Foundation’s emphasis on governed commitment and structural coherence, extending these ideas into domains of corporate strategy, innovation, and institutional design. Through his research, teaching, and advisory work, he contributes to shaping a new generation of leaders capable of deploying AI not merely as a tool, but as a disciplined component of enduring organizational systems.
“Professor Leiblein’s expertise sits at the intersection of business strategy and corporate governance — bringing deep institutional knowledge of business ecosystem to the Foundation’s mission of governed, coherent AI architecture.
Tanaka’s expertise sits at the intersection of technology engineering, cybersecurity, and financial strategy — bringing deep institutional knowledge of Japan’s innovation ecosystem and global capital markets to the Foundation’s mission of governed, coherent AI architecture.
Blaine Mathieu is a Silicon Valley –based technology executive and applied AI operator who most recently served as Chief Executive Officer of Pratexo. He is known for translating emerging technologies into durable products, scalable operations, and enterprise adoption.
Blaine’s expertise sits at the intersection of technology, business development and financial strategy — bringing deep institutional knowledge of global innovation ecosystem to the Foundation’s mission of governed, coherent AI architecture.
Ben’s expertise sits at the intersection of cybersecurity, cloud computing and business development — bringing deep institutional knowledge of global innovation ecosystem to the Foundation’s mission of governed, coherent AI architecture.
Patrick Kelly is an accomplished data scientist and systems builder whose work sits at the intersection of AI, healthcare, and distributed computing. Based in the San Francisco Bay Area, he has built scalable, fault-tolerant platforms that combine Python, Flask microservices, AWS and GCP infrastructure, graph databases, and real-time data pipelines to turn fragmented operational and clinical data into actionable intelligence. His experience spans graph-based healthcare analytics, distributed video streaming with failover, and resilient software architectures designed for complex, real-world data environments. He currently serves as a Data Scientist at OPOS and as an Adjunct Professor at Golden Gate University.
More recently, Kelly’s work has moved toward biologically inspired and information-theoretic approaches to intelligent systems. He has co-authored several articles grounded in the General Theory of Information, including work on self-managing secure services, medical knowledge-driven digital assistants, governance in modern IT, and the shift from static prediction to mindful machines. This scholarship appears to inform his practical AI development as well: he describes building autopoietic, knowledge-driven distributed software systems capable of self-organization, self-regulation, and adaptive infrastructure management across cloud environments. In that sense, his profile reflects not only research engagement with the General Theory of Information, but an effort to translate those ideas into working AI systems for healthcare, distributed intelligence, and next-generation computing architectures.
Patrick’s expertise sits at the intersection of technology. engineering, and software development — bringing deep knowledge of Mindful Machines to the Foundation’s mission of governed, coherent AI architecture.
The Mindful AI Foundation welcomes practitioners, researchers, and institutional leaders who share a commitment to governed, coherent AI systems. Fellows contribute domain expertise, sector knowledge, and deployment experience to the global mission of moving artificial agency toward governance and coherence.
