As the Founder and CEO of Taiyō.AI, I am leading the evolution in the global construction, infrastructure, and government spending sectors by introducing a novel data and AI platform designed to streamline efficiency and improve outcomes.
My career has spanned diverse roles that integrate research, teaching, policy with a focus on AI, AI policy, megaprojects, risk management, and decision-making. My research is focused on a systems architecture approach to Artificial Intelligence (AI) and how such systems can help humans make more sustainable investment and policy decisions. Previously, I served as the Director, Stanford University's Institute for Human-Centered Artificial Intelligence (HAI) where I helped launch the Stanford AI Index, and built the Global AI Vibrancy Toolkit. I have taught at various executive programs including at UC Berkeley, University of San Francisco. Prior to these roles, I was an economist at the World Bank, International Monetary Fund (IMF), and the International Finance Corporation (IFC) in Washington, DC, where I led key projects in emerging markets and research exploring topics of economic growth, technology, inequality, economic development and help guide policymakers.
Current serve as a Visiting Fellow at the Bank for International Settlements (BIS), non-resident fellow at the Brookings Institution, OECD.AI member of AI experts. I received my PhD in Reliability Engineering from the Clark School of Engineering at the University of Maryland, College Park.
My research has been published in various journals including Scientific Reports - Nature, Journal of Risk Analysis, Journal of Service Research, Journal of International Money and Finance, Open Economies Review, Structural Change and Economic Dynamics, books by Oxford University Press, as well as numerous World Bank and IMF Policy Papers. My work has been featured in Bloomberg, the Economist, the Financial Times, VentureBeat, the Wall Street Journal, and a frequent keynote speaker and guest lecturer.
