Higher AI
Human Intelligence coadapts AI
HIOAI™ conducts full-stack applied-AI R&D: from the AI tech stack to its integration in business and impact on society, grounded in peer-reviewed research, NVIDIA professional certifications, practical wisdom, and field-proven results.



Full-stack proven strength
Most AI builders master the tech layers and stop. We go further — into integration and impact, backed by three decades of interdisciplinary research. The AI is only as valuable as the layers above it.

Dr. Wenli Wang holds Robert Morris University’s highest faculty rank — University Professor, above full professor — with earlier appointments at Emory University’s Goizueta Business School and beyond. Her work bridges mindful technology adoption and hands-on systems engineering.
Dr. Wang was the first in the world to co-introduce the “button” mechanism to end a dynamic auction (published in Journal of Economic Theory) — laying the theoretical groundwork for the “golden buzzer” later popularized on America’s Got Talent. As a game theorist, mechanism designer, and computer scientist, she has spent her career studying how to design and implement computerized systems that maximize performance — considering all actors’ reasoning under uncertainty. She is a disciple of Dr. Andrew B. Whinston at the University of Texas at Austin — recipient of the AIS LEO Award for lifetime achievement in Information Systems, and himself a professor across economics, computer science, and information systems. He is the root of her own multidisciplinary breadth and depth. It is the intellectual foundation of how she advises on AI today: knowing where AI fits, where it does not, and how to measure the difference.
Her current AI work spans some of the most demanding fields: surgical robotics AI and clinical decision-making at hospitals, cybersecurity at large international firms, physical security innovations, and customer relationship management at platform companies.
She is an NSF NAIRR Pilot Awardee, granted 20,000 GPU-hours on NVIDIA H100 — among the largest allocations awarded in clinical medicine.
Through HIOAI™, she helps organizations adopt AI wisely — and build craft AI where off-the-shelf models can’t suit their fields — amplifying clients’ decades of hard-won human intelligence and experience into even stronger, defensible competitive advantages.
“Coadapt. Create. Coalesce.”
Hands-on and current — NVIDIA-certified across the stack she builds on.








Senior hands, scaled to the work
When a build needs to scale big, a vetted network of senior AI engineers with big-tech-caliber will be mobilized — with backgrounds spanning clinical and hospital AI, federal and government systems, and more, engaged per project. Senior people on the build, scaled to the work, without standing overhead.
Peers and mentors who take the work seriously.

Among the most-cited scholars in Information Systems and a founder of the electronic-commerce field — recipient of the LEO Award for Lifetime Exceptional Achievement in IS and the inaugural INFORMS ISS Fellow. Dr. Wang’s doctoral mentor.

A career Naval Intelligence Officer with three decades of strategic and operational intelligence — across theater, cyber, and maritime operations — at the highest levels of U.S. national and international agencies.

A scholar of knowledge management and the human side of technology adoption — how people and organizations turn data, analytics, and AI into sound judgment. Three decades in technology management, with a global, cross-cultural lens.
The senior hands who build it.

PhD in Economics & Computer Science (University of Texas at Austin) and a member of Hungary’s International Physics Olympiad team. Coordinator of the Z-shell (zsh) — now the default shell on macOS — and a contributor to the GCC compiler and the Linux kernel. For over two decades, an engineer of the software behind the design and verification of POWER/PowerPC and Z-series processors, systems, and ASICs.

Thirty-five years engineering high-performance software for the design and verification of POWER/PowerPC and Z-series processors, systems, and ASICs — HDL compilers, cycle simulators, and optimization across heterogeneous toolchains and platforms.

A two-time founder and CTO. Co-founded Kinesis Survey Technologies (acquired by FocusVision, 2016), then founded SampleNinja — AI-enhanced panel-management software (Austin & London). A modern product and cloud architect (AWS, full-stack, CI/CD, scalable systems) who has single-handedly engineered entire platforms serving research panels of millions worldwide.