Publications
Published research, book chapters, and working papers across zero-trust architecture, data privacy, and AI in education. Talks and conference presentations are listed separately.
Conference & journal papers
Zero-Trust Data Engineering: A Reference Architecture for Serverless, FedRAMP-High Healthcare Pipelines - IEEE BigDataSecurity, 2026
The full Identity-Per-Transaction reference architecture: threat model, the clean-room ingestion pattern, and a production evaluation showing a 99.9% reduction in the blast radius of a compromised credential while holding throughput linear. Implemented as pymayfly.
Working papers & preprints
Ghost Drivers: Quantifying Privacy Leakage in Enterprise Fleet Telemetry - TechRxiv Preprint, 2026
A re-identification study on "anonymized" commercial fleet telemetry, achieving 96% precision in linking anonymous GPS traces to individual drivers using a multi-pass spatiotemporal sieve. Demonstrates that stripping explicit identifiers is not enough to prevent re-identification, including the recovery of sensitive behavioral patterns.
Chapters
Synergistic Pedagogy: Integrating AI Collaborators into Data Science Education - Elsevier, 2026
A framework for treating AI as a collaborative partner in data science education rather than a simple instructional tool, covering intelligent tutoring systems, automated assessment, and the design and ethics of human-AI teaming.
More
Conference talks and workshop presentations are listed on the talks page. For the code behind the zero-trust work, see pymayfly on GitHub.