Luis Perez-Breva is an innovator, entrepreneur and expert in the practice and development of innovation at the Massachusetts Institute of Technology (MIT). He is also the Rafael del Pino Professor.

Professor Perez-Breva has guided more than 170 projects with new MIT technologies to uncover opportunities to realise MIT's mission of making a positive impact on our society and has trained, guided, mentored and educated more than 200 teams of entrepreneurs and innovators around the world.

He currently directs MIT's flagship programme in applied innovation, the MIT Innovation Teams: a joint programme and course at MIT's School of Engineering and MIT's School of Business. He has recently co-led the innovation arm of MIT's partnership with Russia to create a new university model based on training innovators (MIT Skoltech Initiative) and is also collaborating on several such international initiatives in Portugal, Singapore and Abu Dhabi.

Dr. Perez-Breva holds degrees in Chemical Engineering, Business, Physics, and Artificial Intelligence obtained in Spain (Institut Quimic de Sarrià), France (Ecole Normale Supérieure), and USA (Massachusetts Institute of Technology).

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.