Pierre is the International Programs Professor of Management at MIT’s Sloan School of Management and a faculty Research Fellow at the National Bureau of Economic Research. Azoulay teaches courses on strategy and technology strategy at MIT Sloan. Previously, he was an associate professor of management at Columbia University’s Graduate School of Business. His research centers on how organizational design and social networks influence the productivity of research and development in the healthcare sector. Currently, Azoulay is studying the impact of superstar researchers on the research productivity of their colleagues in the academic life sciences. He also is interested in the topic of academic entrepreneurship, having recently concluded a major study of the antecedents and consequences of academic patenting. In the past, he has investigated the outsourcing strategies of pharmaceutical firms, in particular the role played by contract research organizations in the clinical trials process. Azoulay holds a Diplôme D’études Supérieures de Gestion from the Institut National des Télécommunications, an MA in telecommunications from Michigan State University, and a PhD in management from the MIT Sloan School of Management.

Featured programmes and seminars

  • Harvard Course in Law and Economics

    Start date: 02/10/2023

    The aim of this programme is to provide an up-to-date overview of some of the relevant issues in the field of economic analysis of law.

  • Online course Competition in markets

    Start date: Open

    Introduction to the essential elements shaping competition policy and discussion of the principles and instruments of competition policy.

  • Online course Liberalism, a philosophy in danger

    Start date: Open

    Why are so many obstacles confronting liberalism, so implacable the enemies it has to contend with, and so soft the allies it can hardly count on?

  • Ethics of Artificial Intelligence. Carissa Veliz

    Start date: Coming soon

    This course will help us understand the "digital reality" we live in. A practical and constructive approach, offering possible solutions to the ethical challenges generated by AI.