Academia

Academic Commitment.

I work closely with exceptional students to shape their careers, build responsible ventures, and translate research into solutions that strengthen institutions and society.

Integrating Rigorous Scholarship and Real-World Institutional Impact

I serve as a Professor of Practice in Applied Artificial Intelligence at EGADE Business School, where I designed and teach a graduate course on Applied AI Ethics, Governance, and Strategy. The curriculum focuses on translating governance principles into institutional and strategic decision-making, and students consistently apply these frameworks across leadership roles in industry, public institutions, and entrepreneurial ventures.

Beyond the classroom, I support academic inquiry as an Industry Advisor at Stanford Graduate School of Business and through advisory collaborations with graduate researchers at Cornell Tech. These roles focus on translating scholarly research into policy, enterprise strategy, and institutional design frameworks that are both rigorous and implementable.

My research examines the intersection of AI governance, state capacity, and institutional design, with particular emphasis on Sovereign AI and Sovereign AI Finance. This work develops frameworks connecting long-term capital formation, governance architecture, and rights-based accountability to national and organizational AI strategy. The research has been presented at international academic conferences and is advancing toward peer-reviewed publication.

I contribute to the development and launch of graduate programs in artificial intelligence and data science at global institutions, while supporting curriculum design in emerging technology governance. These experiences strengthen both teaching and research by integrating institutional practice into academic inquiry and deepening analysis of how advanced AI systems influence organizational legitimacy, public trust, and equitable access to opportunity.

My academic engagement is grounded in the iterative exchange between theory and practice. Teaching, mentoring research collaborations, and contributing to scholarly discourse all serve to refine governance and institutional design frameworks addressing the societal challenges of advanced AI. Whether through guest lectures, curriculum development, mentoring student research and ventures, or advising interdisciplinary teams, my work focuses on strengthening institutional capacity to govern AI systems responsibly, inclusively, and sustainably.