Luis Felipe Luna-Reyes

Luis Felipe Luna-Reyes serves as Associate Professor of Informatics at the University at Albany's College of Engineering and Applied Sciences, concurrently holding a Faculty Fellowship at the Center for Technology in Government (CTG). His academic career bridges information systems, public administration, and policy informatics with a focus on cross-border governance in North America.

His educational background includes a Ph.D. in Information Science (Distinguished Dissertation Award, 2004) from University at Albany/SUNY, an MBA in MIS (Cum Laude, 1997) from Universidad de las Américas-Puebla, and a BA in Education (Cum Laude, 1992) from the same institution where he achieved the highest GPA in his department.

Luna-Reyes' research centers on digital government transformation through system dynamics modeling, with particular expertise in interorganizational collaboration, open data ecosystems, and AI governance. His work examines how information technologies reshape public sector decision-making across governmental boundaries, with significant contributions to NAFTA-region economic exchange frameworks and sustainable consumption systems.

His publication trajectory reveals evolving focus from foundational e-government portal studies (2012-2014) toward contemporary AI policy analysis (2024-2025), consistently applying system dynamics to complex public problems including pandemic response modeling, food system resilience, and algorithmic governance. Key thematic threads include trust dynamics in public-private partnerships and socio-technical integration challenges.

• Distinguished Dissertation Award (University at Albany)
• Member, Mexican National Research System (Sistema Nacional de Investigadores)

Luna-Reyes has taught over a dozen courses spanning Information Management, Systems Thinking, and Quantitative Analysis at undergraduate, master's, and executive levels. His advisory work focuses on CTG's Fulbright-affiliated research initiatives, particularly in cross-border information policy. Current projects examine US state AI legislation frameworks and generative AI implications for public affairs education.

He leads collaborative research through CTG's policy informatics lab, directing teams on open data visualization tools for policymakers and community resilience assessment frameworks. Recent work integrates system dynamics with machine learning for real-time policy simulation in food recovery systems and public health emergencies.