Danielle Goldfarb

Danielle Goldfarb is an advisor on the digital economy, real-time data, international trade, and public policy. She is the author or co-author of more than 100 policy papers and commentaries including the 2025 International AI Safety Report and Canadian Trade Realities and Strategies After the U.S. Trade Shock. Her most recent work is on the intersection of AI and trade and the use of digital data and AI advances for better policy intelligence. 

Danielle is a senior fellow at the Centre for International Governance Innovation and the Munk School of Global Affairs and Public Policy, a fellow at the CSA Public Policy Centre, co-Director of the Canadian AI Adoption Initiative and a research fellow and distinguished fellow at the Asia Pacific Foundation of Canada. Danielle’s TEDx talk, “The Smartest Way to Predict the Future”, is on using new technologies to gather better data and improve prediction. She teaches about the use of real-time data and advances in AI for global intelligence at the Munk School of Global Affairs and hosts the “New Tools of the Economists' Trade" series for the Canadian Association of Business Economics and the Toronto Association for Business and Economics. 

Danielle was previously strategic advisor on public policy to Mila–Quebec Artificial Intelligence Institute, a global fellow at the Wilson Center Canada Institute, VP and research director at Real-Time Interactive Worldwide Intelligence, and led trade and digital trade research programs at the C.D. Howe Institute and the Conference Board of Canada. Danielle holds a master of philosophy in international relations from the University of Cambridge and a bachelor of commerce in honours economics from McGill University.