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Wenli Wang

Dr. Wenli Wang

The full stack —
and beyond

From a 20,000 GPU-hour NAIRR allocation to the wisdom that should govern it. Most people stop at the tech stack. I work the whole climb — silicon to spirit — and I have the receipts at every rung.

Currently developing: OpenUSD Development, then AI Networking (Professional) — in progress

Application materials: Full CV · 1-page résumé · Bio · Publications

NAIRR Pilot · Clinical Medicine · federally verifiable

20,000 GPU-hours + SambaNova Cloud

Co-Principal Investigator of the awarded proposal “Integrating Video AI Analytics in Symani Robotics-Assisted Microsurgery” one of only three NAIRR Pilot awards nationwide in the Clinical Medicine category, and the largest of the three. The first AI research worldwide on the Symani surgical robot, with Cedars-Sinai Medical Center.

Verify on the public NAIRR record →

Signature contribution · auction theory

The world’s first buy-price “button”

Co-designed the first mechanism to end a live ascending auction with a single instant-win “button”— the auction-theoretic foundation behind the “golden buzzer” win. Published in the Journal of Economic Theory — a top-tier economics journal — and accepted without a single revision. A patent-worthy result.

Read the paper →
Full stack, and beyond

Silicon to spirit

The industry races to grow the tech stack. The stack is only the base. Above it sit the layers that decide whether AI nourishes or strip-mines — and I have proof at every one.

SpiritualYears of contemplative practice and embodied experience — Dzogchen and Daoist traditions — through long retreats and personal study with accomplished masters of several lineages. Grounded in practice, not theory.
WisdomTwo decades on 'the wisdom we have lost in technology' — invited national panels and peer-reviewed work on prudence in AI adoption, a decade before it was urgent.
Society & HumanityPeer-reviewed AI-governance research and technology for the public good — from generative-AI governance to mobile maternal-health education in Kenya; equity and public trust.
Business & IndustryMechanism design (Journal of Economic Theory); Theory of Constraints proven in a U.S. federal field experiment.
ApplicationsSymani surgical-robotics AI (Cedars-Sinai); explainable-AI cybersecurity for Kansanshi Mining PLC — the largest copper mine in Africa.
Tech — the baseNAIRR Pilot: 20,000 GPU-hours + SambaNova Cloud. NVIDIA professional certifications across the stack.

Nobody else spans from a 20k-GPU allocation to the laws that should govern it. That range is the point.

Credentials

Hands-on, current, and checkable

NVIDIA professional certifications

  • NVIDIA-Certified Professional — Agentic AI
  • NVIDIA-Certified Professional — Generative AI & LLMs
  • NVIDIA-Certified Professional — Accelerated Data Science
  • NVIDIA-Certified Associate — AI Infrastructure & Operations
  • OpenUSD Development (Professional) — in progress
  • AI Networking (Professional) — in progress

Academic & professional

  • PhD, University of Texas at Austin — advised by Andrew B. Whinston, among the most-cited scholars in Information Systems (LEO Award for Lifetime Achievement; inaugural INFORMS ISS Fellow)
  • University (Distinguished) Professor of Computer & Information Systems, Robert Morris University
  • Founder & CEO, 1only LLC — AI consulting & craft-AI builds via HIOAI ↗
  • Consulting: Cedars-Sinai Medical Center · Kansanshi Mining PLC (largest copper mine in Africa)
  • Nearly 100 peer-reviewed publications · Full publication list →
About

Professor. Builder. Steward. Founder. Strategist.

Dr. Wenli Wang is a University (Distinguished) Professor of Computer & Information Systems at Robert Morris University, researching artificial intelligence, cybersecurity, systems science, management science, and game theory — with ~100 peer-reviewed publications, including in the Journal of Economic Theory, Decision Support Systems, and IEEE Computer.

She earned her PhD in Management Science & Information Systems from UT Austin, is NVIDIA-certified across the AI stack, and has held posts at Emory, UNLV, and Trident. Across 22 years of doctoral education she has advised graduates who now serve as university faculty and as executives and senior leaders across the U.S. federal government — including defense and intelligence.

And the work she cares about most sits above the stack — where the questions are no longer how to build AI, but how it should be governed, kept diverse, and made to serve people. That is the seat she means to hold.

Full CV (PDF) →  ·  1-page résumé (PDF) →

Work across the whole climb

Tech at the base, wisdom at the top — and proof at every rung.

Get in touch