about my experience
So far, most of my career has been spent in the U.S., and Canada, I feel pretty fortunate to have had a chance to hold positions in several organizations across the world (China, France, U.S., Canada, Haïti). I also feel very lucky to have had a chance to be part of international institutions that have helped me develop (Salzburg Global Seminar, Harvard, ZBW-Leibniz to name a few) and to do field research in Japan, Israel, South Africa, China, Brazil, etc. Learning, growing and meeting different cultures in this transformative time is what I really like.
Thierry Warin is Professor of Data Science for Global Transformations at HEC Montréal and Principal Investigator at CIRANO (Canada). He was also a Fellow at the Digital, Data and Design (D^3) Institute at Harvard Business School (2023–2025) and a Researcher at CERIUM–CEUE (Université de Montréal). He served as President of the International Trade and Finance Association (2020–2022) and has been a Visiting Scholar at Harvard University’s Weatherhead Center for International Affairs (2015–2017) as well as a Faculty Affiliate at Michael Porter’s Microeconomics of Competitiveness Network at Harvard Business School (2016–2023). His prior appointments include Associate Professor at Polytechnique Montréal, where he directed the International Projects Program (2010–2013); Associate Professor at Middlebury College, where he led the International Studies and International Politics & Economics programs; and Academic Director at Sun Yat Sen University in Guangzhou, China.
Professor Warin’s research trajectory has progressively shifted from conventional econometric analysis toward computationally intensive explorations of economic complexity. Rooted in early work on fiscal integration and monetary union, his scholarship now integrates network theory, natural-language processing, and retrieval-augmented generation to examine how information flows, algorithmic coordination, and technological change reshape economic and social systems. Throughout this evolution, he has sought to make methodological innovation endogenous to inquiry, developing reproducible toolkits—such as metadata-driven systematic reviews and domain-specific R packages—that render large, heterogeneous corpora analytically tractable.
An alumnus of the Salzburg Global Seminar and the Minda de Gunzburg Center for European Studies at Harvard University, Professor Warin has held academic positions in North America, Europe, and Asia, including ESSEC Business School (Paris), HEC Paris, La Sorbonne, the University of International Business and Economics in Beijing, Middlebury College, and Polytechnique Montréal. He is a graduate of the Harvard Business Analytics Program and earned his Ph.D. in Financial Economics from ESSEC Business School in Paris.
Research Fields
My recent work is primarily situated at the intersection of artificial intelligence, data science, and economic analysis, where I examine how computational methods—such as natural language processing, machine learning, and digital twins—reshape decision-making processes in firms and institutions. This line of research applies data-intensive approaches to questions of productivity, public policy, and organizational strategy, with a particular focus on the integration of AI into economic and managerial systems.
Closely related to this, I investigate industrial organization and competition in the digital economy, with an emphasis on algorithmic pricing, platform dynamics, and the risks of collusion in environments mediated by artificial intelligence. This work contributes to contemporary debates in antitrust and regulation, especially in contexts where information asymmetries and automated decision systems redefine competitive behavior.
A further dimension of my research lies in political economy and institutional analysis, particularly in understanding how information flows, digital platforms, and communication strategies affect institutional legitimacy and public engagement. This includes work on central bank communication, social media discourse, and the governance of emerging technologies, where I analyze how digital environments transform the relationship between institutions and citizens.
More recently, I have also developed contributions in sustainability and climate transition, using data-driven methods to explore corporate strategies, public perceptions of environmental risks, and the role of information in facilitating or constraining transitions toward more sustainable economic models.
Earlier in my career, my research focused on innovation, technology strategy, and digital transformation, where I examined how firms adapt to technological change and how data and digital infrastructures influence strategic decision-making. This work provided a bridge between traditional management theory and the emerging role of data science in organizational contexts.
Finally, my foundational contributions are rooted in international economics and global trade, including work on monetary integration, fiscal policy, trade models, and the institutional dynamics of the European Union. These earlier studies continue to inform my current research, particularly in understanding how global economic structures are being reshaped by digitalization and platform-based interactions.
Across these domains, my research is unified by a common objective: to mobilize data science and computational tools to revisit and extend core questions in economics, international business, and institutional analysis in the context of digital transformation.