Jorge Maisonet-Colon

Resume

AI governance and assurance for life sciences and healthcare. Albuquerque, New Mexico; remote, U.S. Updated September 2026.

Download the PDF Plain-text version

Summary

AI governance and assurance for regulated life sciences and healthcare: governance design for agentic systems and evaluation against specification. Specified the governance design of a multi-institution agentic system; designed and built a multi-agent evaluation instrument (rubrics committed before any run, sealed targets, split-context and single-context arms, leakage review, provenance export of every turn); commissioned an origin-blind adversarial audit of it, one model producing findings with no knowledge of who built it and a second confirming each against the source, and maintain the versioned defect register; authored Tension OS v2.1, a decision and governance methodology with conformance cross-walks to the EU AI Act, ISO/IEC 42001 and NIST AI RMF. The judgment to specify the system and build the instrument came from prior experience: academic research at MD Anderson and Albert Einstein College of Medicine (co-author, ACS Medicinal Chemistry Letters); lab operations at Identigene; eleven years of testing healthcare-access business models and four years of launching and managing two business ventures; an MBA; bilingual English and Spanish.

Experience

Frameworks and methods

AI governance; AI assurance and audit; Responsible AI; AI risk management; evaluation design and LLM evaluation; red-teaming; agentic AI governance; open-weight model admission; EU AI Act; ISO/IEC 42001; NIST AI RMF; conformance assessment; human oversight; logging and telemetry; decision records; documentation discipline.