Andrew Gamino-Cheong (C’15) is the co-founder & CTO of Trustible, a DC-based AI governance software company focused on helping organizations manage and mitigate AI risk, build trust, and accelerate responsible AI development. In his role at Trustible, Andrew participates in AI safety research, evangelizes responsible AI practices, and contributes to standard setting work by the IEEE and NIST AI Safety Institute Consortium. Prior to Trustible, Andrew spent 7.5 years at FiscalNote (NYSE: NOTE) in a variety of software engineer, tech lead, and engineering director roles where he helped FiscalNote build proprietary data ingestion systems, scalable search infrastructure, and a collaborative machine learning platform. Andrew has a master’s degree in Computer Science from the University of Maryland where he was advised by Dr. Philip Resnik, and a B.S in Computer Science and Government from Georgetown University where he did research with Dr. Lisa Singh.

Trustible is an AI governance platform that helps organizations adopt AI responsibly and safely as regulations evolve. It integrates with existing AI/ML workflows, giving compliance and data science teams the tools to define AI policies, enforce responsible AI practices, and generate evidence for audits and regulatory compliance, including frameworks like the EU AI Act and NIST AI RMF. Founded by former FiscalNote executives and based in Washington, D.C., Trustible is structured as a Public Benefit Corporation, reflecting its mission to maximize trust, reduce risk, and increase transparency in how organizations adopt AI.