Selected work

Every QNFO paper is prepared with an AI-assisted research pipeline, and I am responsible for its content. Each states its claim, how it could be tested, and its status. The full library is at papers.qnfo.org.

Energy-honest computing (JPCUB)

What does a correct answer cost in energy, for the whole system?

The Joules-per-Solution Metric: Definition, Measurement Protocol, and Anti-Gaming Provisions
2026 · the standard itself
Error Correction Is a Landauer Machine: The Thermodynamic Floor of Quantum Error-Correction Overhead
2026
JPCUB Competitive Landscape v2.0: System-Level Joules-per-Solution Estimates for 17 Quantum Computing Platforms
2026 · estimates from published specifications; no hardware measurement yet
Joules-per-Solution for Stochastic and Agentic Inference
2026 · the metric applied to frontier and agentic LLMs

Epistemics of AI-assisted science

How can an AI-assisted paper say clearly what it does not know?

The Universal Ignorance Audit
2026 · a fifteen-question method
Epistemic Legibility in AI-Assisted Science: Ignorance Auditing as a Governance Instrument
2026

Autonomous research operations

What does an autonomous research system deliver, at what cost, and how does it fail?

Operating the Quniverse Fleet: Objectives, Successes, Failures, and Roadmap of an Autonomous Cloud Research System
2026 · includes a failure ledger

National data and policy research (as Brad Gudzinas)

AARP Livability Index 2018
AARP Public Policy Institute, 2019 · co-author
Low-Income Housing Tax Credits
AARP Public Policy Institute, 2016
Tour-Based National Model System
U.S. DOT Federal Highway Administration, 2014
Updating the National Household Travel Survey with American Community Survey data
Transportation Research Board Annual Meeting, 2016 · co-author

More of this work is listed on Google Scholar.